From 79548b542f01816c1a1da49b0a9f61603e28722a Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Sat, 25 Nov 2023 10:52:03 -0800 Subject: [PATCH] Update PT 2.1 inference benchmarks w/ full profile info --- ...ark-infer-amp-nchw-pt210-cu121-rtx3090.csv | 2503 +++++++++-------- ...ark-infer-amp-nhwc-pt210-cu121-rtx3090.csv | 1205 ++++++++ 2 files changed, 2499 insertions(+), 1209 deletions(-) create mode 100644 results/benchmark-infer-amp-nhwc-pt210-cu121-rtx3090.csv diff --git a/results/benchmark-infer-amp-nchw-pt210-cu121-rtx3090.csv b/results/benchmark-infer-amp-nchw-pt210-cu121-rtx3090.csv index 6b80b607ee..9980b79d8e 100644 --- a/results/benchmark-infer-amp-nchw-pt210-cu121-rtx3090.csv +++ b/results/benchmark-infer-amp-nchw-pt210-cu121-rtx3090.csv @@ -1,1209 +1,1294 @@ -model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,param_count -tinynet_e,50602.18,20.226,1024,106,2.04 -mobilenetv3_small_050,46138.57,22.184,1024,224,1.59 -lcnet_035,41113.68,24.897,1024,224,1.64 -lcnet_050,37663.97,27.178,1024,224,1.88 -mobilenetv3_small_075,33416.79,30.633,1024,224,2.04 -efficientvit_m0,31989.81,32.0,1024,224,2.35 -mobilenetv3_small_100,29484.15,34.72,1024,224,2.54 -tf_mobilenetv3_small_minimal_100,28325.93,36.14,1024,224,2.04 -tinynet_d,27639.17,37.039,1024,152,2.34 -tf_mobilenetv3_small_075,27531.04,37.184,1024,224,2.04 -efficientvit_m1,25032.76,40.896,1024,224,2.98 -tf_mobilenetv3_small_100,24915.44,41.089,1024,224,2.54 -lcnet_075,24293.52,42.141,1024,224,2.36 -efficientvit_m2,22053.29,46.422,1024,224,4.19 -mnasnet_small,20694.79,49.47,1024,224,2.03 -levit_128s,20610.67,49.672,1024,224,7.78 -lcnet_100,19877.94,51.504,1024,224,2.95 -regnetx_002,18912.2,54.135,1024,224,2.68 -resnet10t,18800.1,54.458,1024,176,5.44 -efficientvit_m3,18794.26,54.474,1024,224,6.9 -mobilenetv2_035,18605.44,55.027,1024,224,1.68 -ghostnet_050,17861.01,57.32,1024,224,2.59 -levit_conv_128s,17630.98,58.069,1024,224,7.78 -regnety_002,17562.89,58.295,1024,224,3.16 -efficientvit_m4,17441.98,58.699,1024,224,8.8 -repghostnet_050,17072.95,59.967,1024,224,2.31 -efficientvit_b0,16785.78,60.993,1024,224,3.41 -vit_tiny_r_s16_p8_224,16446.12,62.254,1024,224,6.34 -vit_small_patch32_224,15903.4,64.378,1024,224,22.88 -mnasnet_050,15855.93,64.571,1024,224,2.22 -mobilenetv2_050,14877.09,68.821,1024,224,1.97 -pit_ti_224,14726.38,69.524,1024,224,4.85 -tinynet_c,14713.92,69.583,1024,184,2.46 -pit_ti_distilled_224,14657.43,69.852,1024,224,5.1 -semnasnet_050,14349.89,71.349,1024,224,2.08 -levit_128,14187.77,72.164,1024,224,9.21 -repghostnet_058,13514.74,75.759,1024,224,2.55 -mixer_s32_224,13080.34,78.274,1024,224,19.1 -cs3darknet_focus_s,12824.91,79.834,1024,256,3.27 -levit_conv_128,12614.59,81.165,1024,224,9.21 -regnetx_004,12565.32,81.483,1024,224,5.16 -lcnet_150,12508.3,81.855,1024,224,4.5 -cs3darknet_s,12489.19,81.981,1024,256,3.28 -regnetx_004_tv,12229.03,83.725,1024,224,5.5 -efficientvit_m5,12176.55,84.085,1024,224,12.47 -levit_192,11985.99,85.423,1024,224,10.95 -mobilenetv3_large_075,11972.47,85.519,1024,224,3.99 -resnet10t,11895.98,86.07,1024,224,5.44 -gernet_s,11800.55,86.765,1024,224,8.17 -ese_vovnet19b_slim_dw,11616.55,88.14,1024,224,1.9 -vit_tiny_patch16_224,11265.09,90.89,1024,224,5.72 -deit_tiny_distilled_patch16_224,11217.38,91.276,1024,224,5.91 -deit_tiny_patch16_224,11213.01,91.312,1024,224,5.72 -repghostnet_080,11073.56,92.462,1024,224,3.28 -mobilenetv3_rw,10915.28,93.803,1024,224,5.48 -levit_conv_192,10894.02,93.985,1024,224,10.95 -mobilenetv3_large_100,10743.75,95.301,1024,224,5.48 -hardcorenas_a,10611.28,96.49,1024,224,5.26 -tf_mobilenetv3_large_075,10511.75,97.404,1024,224,3.99 -resnet14t,10472.89,97.766,1024,176,10.08 -mnasnet_075,10419.11,98.27,1024,224,3.17 -tf_mobilenetv3_large_minimal_100,10392.13,98.526,1024,224,3.92 -regnety_004,9914.45,103.274,1024,224,4.34 -nf_regnet_b0,9874.94,103.686,1024,192,8.76 -regnetx_006,9818.54,104.282,1024,224,6.2 -hardcorenas_b,9792.51,104.559,1024,224,5.18 -hardcorenas_c,9612.51,106.517,1024,224,5.52 -ghostnet_100,9571.12,106.978,1024,224,5.18 -tf_mobilenetv3_large_100,9485.7,107.941,1024,224,5.48 -tinynet_b,9380.96,109.146,1024,188,3.73 -mnasnet_100,9361.35,109.375,1024,224,4.38 -tf_efficientnetv2_b0,9311.79,109.958,1024,192,7.14 -repghostnet_100,9303.26,110.058,1024,224,4.07 -mobilenetv2_075,9278.12,110.357,1024,224,2.64 -pit_xs_224,9209.13,111.183,1024,224,10.62 -resnet18,9207.06,111.209,1024,224,11.69 -pit_xs_distilled_224,9169.07,111.669,1024,224,11.0 -semnasnet_075,9140.86,112.014,1024,224,2.91 -regnety_006,9102.27,112.489,1024,224,6.06 -convnext_atto,8990.66,113.886,1024,224,3.7 -hardcorenas_d,8953.51,114.357,1024,224,7.5 -levit_256,8931.36,114.642,1024,224,18.89 -seresnet18,8703.78,117.639,1024,224,11.78 -convnext_atto_ols,8543.6,119.845,1024,224,3.7 -mobilenetv2_100,8519.09,120.19,1024,224,3.5 -legacy_seresnet18,8448.93,121.189,1024,224,11.78 -spnasnet_100,8438.89,121.332,1024,224,4.42 -repghostnet_111,8379.25,122.196,1024,224,4.54 -semnasnet_100,8353.25,122.576,1024,224,3.89 -dla46_c,8203.61,124.811,1024,224,1.3 -repvgg_a0,8118.96,126.114,1024,224,9.11 -levit_conv_256,8042.74,127.309,1024,224,18.89 -edgenext_xx_small,7962.32,128.593,1024,256,1.33 -regnetx_008,7928.35,129.146,1024,224,7.26 -resnet18d,7875.74,130.009,1024,224,11.71 -hardcorenas_f,7867.14,130.15,1024,224,8.2 -convnext_femto,7866.03,130.169,1024,224,5.22 -ese_vovnet19b_slim,7828.21,130.799,1024,224,3.17 -mobilevit_xxs,7818.61,130.959,1024,256,1.27 -hardcorenas_e,7796.77,131.325,1024,224,8.07 -efficientnet_lite0,7716.59,132.69,1024,224,4.65 -xcit_nano_12_p16_224,7700.41,132.969,1024,224,3.05 -levit_256d,7690.72,133.137,1024,224,26.21 -ghostnet_130,7679.33,133.334,1024,224,7.36 -tf_efficientnetv2_b0,7628.07,134.23,1024,224,7.14 -repghostnet_130,7553.56,135.554,1024,224,5.48 -convnext_femto_ols,7498.35,136.552,1024,224,5.23 -regnety_008,7495.9,136.597,1024,224,6.26 -tinynet_a,7440.52,137.614,1024,192,6.19 -fbnetc_100,7317.07,139.936,1024,224,5.57 -tf_efficientnetv2_b1,7258.34,141.068,1024,192,8.14 -crossvit_tiny_240,7100.64,144.201,1024,240,7.01 -mobilevitv2_050,7084.19,144.537,1024,256,1.37 -regnety_008_tv,7064.81,144.933,1024,224,6.43 -crossvit_9_240,6970.7,146.889,1024,240,8.55 -dla46x_c,6843.54,149.618,1024,224,1.07 -tf_efficientnet_lite0,6816.79,150.207,1024,224,4.65 -efficientnet_b0,6719.98,152.371,1024,224,5.29 -rexnet_100,6690.21,153.048,1024,224,4.8 -rexnetr_100,6645.89,154.07,1024,224,4.88 -repvit_m1,6592.8,155.31,1024,224,5.49 -repghostnet_150,6587.51,155.434,1024,224,6.58 -efficientnet_b1_pruned,6578.53,155.647,1024,240,6.33 -levit_conv_256d,6561.12,156.06,1024,224,26.21 -mnasnet_140,6551.87,156.28,1024,224,7.12 -efficientvit_b1,6455.6,158.611,1024,224,9.1 -visformer_tiny,6453.89,158.653,1024,224,10.32 -crossvit_9_dagger_240,6434.35,159.135,1024,240,8.78 -resnet14t,6413.32,159.657,1024,224,10.08 -dla60x_c,6411.58,159.699,1024,224,1.32 -mobilenetv2_110d,6386.21,160.335,1024,224,4.52 -ghostnetv2_100,6374.75,160.623,1024,224,6.16 -regnetz_005,6370.99,160.717,1024,224,7.12 -edgenext_xx_small,6293.49,162.694,1024,288,1.33 -repvit_m0_9,6285.6,162.901,1024,224,5.49 -convnext_pico,6145.96,166.603,1024,224,9.05 -cs3darknet_focus_m,6145.49,166.616,1024,256,9.3 -fbnetv3_b,6136.76,166.853,1024,224,8.6 -pvt_v2_b0,6124.05,167.199,1024,224,3.67 -tf_efficientnet_b0,6020.46,170.077,1024,224,5.29 -ese_vovnet19b_dw,5992.89,170.859,1024,224,6.54 -nf_regnet_b0,5971.9,171.459,1024,256,8.76 -resnetblur18,5957.15,171.884,1024,224,11.69 -hrnet_w18_small,5950.81,172.067,1024,224,13.19 -repvgg_a1,5932.07,172.611,1024,224,14.09 -cs3darknet_m,5878.68,174.176,1024,256,9.31 -convnext_pico_ols,5852.55,174.953,1024,224,9.06 -vit_base_patch32_224,5754.17,177.946,1024,224,88.22 -tf_efficientnetv2_b2,5752.63,177.995,1024,208,10.1 -skresnet18,5736.61,178.492,1024,224,11.96 -semnasnet_140,5735.78,178.518,1024,224,6.11 -vit_base_patch32_clip_224,5715.35,179.156,1024,224,88.22 -vit_tiny_r_s16_p8_384,5638.1,181.611,1024,384,6.36 -resnet18,5635.31,181.701,1024,288,11.69 -mobilenetv2_140,5629.71,181.882,1024,224,6.11 -vit_small_patch32_384,5502.44,186.089,1024,384,22.92 -convnext_atto,5487.96,186.577,1024,288,3.7 -selecsls42,5463.69,187.409,1024,224,30.35 -efficientnet_b0_gn,5455.8,187.679,1024,224,5.29 -efficientnet_lite1,5451.35,187.833,1024,240,5.42 -fbnetv3_d,5443.86,188.092,1024,224,10.31 -pit_s_224,5430.41,188.557,1024,224,23.46 -selecsls42b,5417.56,189.004,1024,224,32.46 -resnet34,5402.13,189.544,1024,224,21.8 -pit_s_distilled_224,5399.49,189.637,1024,224,24.04 -seresnet18,5342.27,191.668,1024,288,11.78 -levit_384,5320.24,192.461,1024,224,39.13 -tf_efficientnetv2_b1,5293.36,193.439,1024,240,8.14 -repvit_m1_0,5278.81,193.965,1024,224,7.3 -convnextv2_atto,5252.69,194.937,1024,224,3.71 -convnext_atto_ols,5205.3,196.712,1024,288,3.7 -gernet_m,5196.82,197.033,1024,224,21.14 -repghostnet_200,5159.09,198.474,1024,224,9.8 -fbnetv3_b,5147.97,198.903,1024,256,8.6 -mixnet_s,5127.79,199.685,1024,224,4.13 -seresnet34,5105.01,200.577,1024,224,21.96 -vit_base_patch32_clip_quickgelu_224,5103.55,200.634,1024,224,87.85 -repvit_m2,5096.84,200.892,1024,224,8.8 -rexnetr_130,5083.52,201.425,1024,224,7.61 -efficientnet_b0_g16_evos,5014.13,204.211,1024,224,8.11 -edgenext_x_small,4990.44,205.179,1024,256,2.34 -ghostnetv2_130,4978.36,205.679,1024,224,8.96 -tiny_vit_5m_224,4957.26,206.555,1024,224,12.08 -rexnet_130,4940.74,207.245,1024,224,7.56 -legacy_seresnet34,4938.76,207.329,1024,224,21.96 -resnet34d,4928.44,207.763,1024,224,21.82 -tf_efficientnet_lite1,4919.71,208.132,1024,240,5.42 -eva02_tiny_patch14_224,4917.03,208.245,1024,224,5.5 -resnetrs50,4901.59,208.901,1024,160,35.69 -mixer_b32_224,4898.85,209.018,1024,224,60.29 -xcit_tiny_12_p16_224,4890.26,209.385,1024,224,6.72 -repvit_m1_1,4877.06,209.951,1024,224,8.8 -levit_conv_384,4849.97,211.125,1024,224,39.13 -efficientnet_es,4827.22,212.12,1024,224,5.44 -efficientnet_es_pruned,4825.03,212.216,1024,224,5.44 -dla34,4809.91,212.882,1024,224,15.74 -resnet26,4800.58,213.297,1024,224,16.0 -resnet18d,4783.21,214.071,1024,288,11.71 -convnext_femto,4782.38,214.108,1024,288,5.22 -tf_mixnet_s,4782.1,214.121,1024,224,4.13 -efficientnet_b1,4728.06,216.569,1024,224,7.79 -gmlp_ti16_224,4702.71,217.736,1024,224,5.87 -cs3darknet_focus_m,4695.03,218.093,1024,288,9.3 -mobilenetv2_120d,4670.48,219.239,1024,224,5.83 -selecsls60,4653.67,220.03,1024,224,30.67 -selecsls60b,4621.83,221.546,1024,224,32.77 -tf_efficientnet_es,4610.0,222.115,1024,224,5.44 -resmlp_12_224,4606.74,222.272,1024,224,15.35 -deit_small_patch16_224,4589.28,223.118,1024,224,22.05 -vit_small_patch16_224,4586.84,223.236,1024,224,22.05 -deit_small_distilled_patch16_224,4564.7,224.319,1024,224,22.44 -efficientnet_cc_b0_8e,4562.63,224.422,1024,224,24.01 -efficientnet_b0_g8_gn,4559.87,224.557,1024,224,6.56 -gmixer_12_224,4554.32,224.831,1024,224,12.7 -fbnetv3_d,4550.55,225.017,1024,256,10.31 -convnext_femto_ols,4538.97,225.59,1024,288,5.23 -efficientnet_cc_b0_4e,4538.27,225.626,1024,224,13.31 -repvgg_b0,4525.76,226.249,1024,224,15.82 -convnextv2_femto,4515.66,226.755,1024,224,5.23 -mixer_s16_224,4514.63,226.807,1024,224,18.53 -cs3darknet_m,4508.86,227.098,1024,288,9.31 -regnetx_016,4474.92,228.82,1024,224,9.19 -nf_regnet_b1,4441.6,230.536,1024,256,10.22 -mobilevitv2_075,4436.81,230.786,1024,256,2.87 -vit_base_patch32_clip_256,4420.23,231.651,1024,256,87.86 -rexnetr_150,4415.6,231.894,1024,224,9.78 -resnet26d,4401.79,232.622,1024,224,16.01 -darknet17,4400.25,232.704,1024,256,14.3 -efficientnet_b2_pruned,4359.51,234.877,1024,260,8.31 -convnext_nano,4336.76,236.108,1024,224,15.59 -ecaresnet50d_pruned,4334.57,236.229,1024,224,19.94 -efficientformer_l1,4273.32,239.615,1024,224,12.29 -nf_resnet26,4212.69,243.064,1024,224,16.0 -tf_efficientnet_cc_b0_8e,4212.43,243.079,1024,224,24.01 -deit3_small_patch16_224,4208.89,243.284,1024,224,22.06 -tf_efficientnet_cc_b0_4e,4195.81,244.042,1024,224,13.31 -nf_regnet_b2,4193.93,244.151,1024,240,14.31 -regnety_016,4185.98,244.615,1024,224,11.2 -rexnet_150,4147.18,246.903,1024,224,9.73 -ghostnetv2_160,4086.82,250.55,1024,224,12.39 -poolformer_s12,4073.95,251.342,1024,224,11.92 -tiny_vit_11m_224,4062.27,252.065,1024,224,20.35 -regnetz_005,4050.14,252.82,1024,288,7.12 -efficientnet_lite2,4048.14,252.945,1024,260,6.09 -darknet21,4000.77,255.94,1024,256,20.86 -edgenext_x_small,3966.35,258.159,1024,288,2.34 -efficientnet_b1,3964.25,258.298,1024,256,7.79 -convnext_nano_ols,3945.86,259.501,1024,224,15.65 -resnest14d,3932.9,260.357,1024,224,10.61 -flexivit_small,3922.1,261.073,1024,240,22.06 -tf_efficientnet_b1,3919.99,261.214,1024,240,7.79 -mobilevit_xs,3905.22,196.65,768,256,2.32 -regnetz_b16,3891.6,263.12,1024,224,9.72 -sedarknet21,3872.52,264.416,1024,256,20.95 -mobileone_s1,3827.91,267.498,1024,224,4.83 -resnext26ts,3826.88,267.569,1024,256,10.3 -tf_efficientnetv2_b2,3815.87,268.342,1024,260,10.1 -edgenext_small,3766.37,271.867,1024,256,5.59 -convnext_pico,3733.98,274.227,1024,288,9.05 -gernet_l,3728.08,274.661,1024,256,31.08 -eca_resnext26ts,3726.22,274.798,1024,256,10.3 -seresnext26ts,3720.17,275.245,1024,256,10.39 -dpn48b,3702.62,276.548,1024,224,9.13 -tf_efficientnet_lite2,3693.45,277.237,1024,260,6.09 -gcresnext26ts,3688.2,277.631,1024,256,10.48 -efficientnet_b2,3672.38,278.827,1024,256,9.11 -resnetblur18,3642.88,281.086,1024,288,11.69 -nf_ecaresnet26,3637.3,281.517,1024,224,16.0 -nf_seresnet26,3632.93,281.855,1024,224,17.4 -vit_relpos_small_patch16_224,3588.03,285.382,1024,224,21.98 -resnet26t,3575.89,286.351,1024,256,16.01 -convnext_pico_ols,3559.09,287.699,1024,288,9.06 -vit_srelpos_small_patch16_224,3558.99,287.711,1024,224,21.97 -cs3darknet_focus_l,3543.43,288.973,1024,256,21.15 -tf_efficientnetv2_b3,3542.61,289.041,1024,240,14.36 -legacy_seresnext26_32x4d,3520.28,290.875,1024,224,16.79 -pvt_v2_b1,3511.1,291.636,1024,224,14.01 -repvit_m3,3502.65,292.339,1024,224,10.68 -repvgg_a2,3495.48,292.939,1024,224,28.21 -ese_vovnet19b_dw,3489.51,293.44,1024,288,6.54 -efficientnetv2_rw_t,3488.34,293.538,1024,224,13.65 -ecaresnet101d_pruned,3478.1,294.402,1024,224,24.88 -mixnet_m,3471.57,294.957,1024,224,5.01 -convnextv2_pico,3459.25,296.006,1024,224,9.07 -edgenext_small_rw,3454.5,296.411,1024,256,7.83 -gc_efficientnetv2_rw_t,3447.61,297.006,1024,224,13.68 -cs3darknet_l,3414.23,299.909,1024,256,21.16 -efficientnet_b3_pruned,3411.11,300.185,1024,300,9.86 -nf_regnet_b1,3370.49,303.802,1024,288,10.22 -tf_mixnet_m,3351.32,305.54,1024,224,5.01 -convit_tiny,3344.25,306.186,1024,224,5.71 -eca_botnext26ts_256,3338.38,306.724,1024,256,10.59 -ecaresnext50t_32x4d,3325.56,307.907,1024,224,15.41 -ecaresnext26t_32x4d,3325.51,307.912,1024,224,15.41 -seresnext26t_32x4d,3321.57,308.277,1024,224,16.81 -resnet34,3318.65,308.549,1024,288,21.8 -vit_tiny_patch16_384,3308.21,309.522,1024,384,5.79 -vit_base_patch32_plus_256,3297.08,310.567,1024,256,119.48 -skresnet34,3288.41,311.386,1024,224,22.28 -mobilevitv2_100,3287.96,233.57,768,256,4.9 -seresnext26d_32x4d,3286.88,311.53,1024,224,16.81 -vit_relpos_small_patch16_rpn_224,3278.01,312.367,1024,224,21.97 -eca_halonext26ts,3273.05,312.847,1024,256,10.76 -coatnet_pico_rw_224,3248.52,315.21,1024,224,10.85 -rexnetr_200,3239.17,237.088,768,224,16.52 -ecaresnet26t,3232.08,316.813,1024,256,16.01 -cs3sedarknet_l,3220.28,317.973,1024,256,21.91 -ecaresnetlight,3219.83,318.019,1024,224,30.16 -coatnext_nano_rw_224,3216.05,318.39,1024,224,14.7 -coat_lite_tiny,3214.27,318.567,1024,224,5.72 -convnextv2_atto,3201.39,319.851,1024,288,3.71 -nf_regnet_b2,3200.84,319.905,1024,272,14.31 -vit_small_r26_s32_224,3175.69,322.438,1024,224,36.43 -botnet26t_256,3168.58,323.162,1024,256,12.49 -resnetv2_50,3165.9,323.435,1024,224,25.55 -crossvit_small_240,3161.77,323.859,1024,240,26.86 -fastvit_t8,3160.03,324.037,1024,256,4.03 -bat_resnext26ts,3138.17,326.29,1024,256,10.73 -halonet26t,3132.09,326.928,1024,256,12.48 -seresnet34,3130.49,327.095,1024,288,21.96 -lambda_resnet26t,3122.95,327.884,1024,256,10.96 -rexnet_200,3118.83,246.236,768,224,16.37 -vit_small_resnet26d_224,3106.53,329.616,1024,224,63.61 -hrnet_w18_small_v2,3095.24,330.819,1024,224,15.6 -mobileone_s2,3086.8,331.724,1024,224,7.88 -vit_relpos_base_patch32_plus_rpn_256,3080.58,332.387,1024,256,119.42 -tresnet_m,3074.98,332.998,1024,224,31.39 -resnet32ts,3072.63,333.254,1024,256,17.96 -coatnet_nano_cc_224,3065.35,334.044,1024,224,13.76 -resnet50,3038.24,337.026,1024,224,25.56 -resnet33ts,3031.58,337.766,1024,256,19.68 -efficientvit_b2,3029.87,337.957,1024,224,24.33 -coat_lite_mini,3019.87,339.076,1024,224,11.01 -resnetv2_50t,3012.48,339.906,1024,224,25.57 -resnet34d,3012.14,339.947,1024,288,21.82 -cspresnet50,3011.66,340.0,1024,256,21.62 -dpn68,3007.97,340.416,1024,224,12.61 -dpn68b,3006.47,340.586,1024,224,12.61 -coatnet_nano_rw_224,3000.25,341.292,1024,224,15.14 -resnetv2_50d,2992.81,342.142,1024,224,25.57 -convnext_tiny,2989.91,342.474,1024,224,28.59 -levit_512,2975.97,344.079,1024,224,95.17 -fbnetv3_g,2964.43,345.417,1024,240,16.62 -dla60,2960.18,345.911,1024,224,22.04 -tf_efficientnet_b2,2955.85,346.42,1024,260,9.11 -crossvit_15_240,2946.01,347.578,1024,240,27.53 -seresnet33ts,2944.24,347.787,1024,256,19.78 -efficientnet_em,2943.28,347.901,1024,240,6.9 -eca_resnet33ts,2941.03,348.166,1024,256,19.68 -regnetx_032,2922.82,350.335,1024,224,15.3 -gcresnet33ts,2914.46,351.339,1024,256,19.88 -mobileone_s0,2898.95,353.22,1024,224,5.29 -repvit_m1_5,2891.44,354.132,1024,224,14.64 -resnet50t,2889.54,354.37,1024,224,25.57 -selecsls84,2888.99,354.438,1024,224,50.95 -resnet50c,2887.33,354.642,1024,224,25.58 -haloregnetz_b,2880.6,355.47,1024,224,11.68 -vgg11,2874.93,356.173,1024,224,132.86 -efficientnet_cc_b1_8e,2866.49,357.22,1024,240,39.72 -resnest26d,2857.48,358.347,1024,224,17.07 -tf_efficientnet_em,2854.94,358.666,1024,240,6.9 -resnet50d,2853.29,358.874,1024,224,25.58 -visformer_small,2837.06,360.927,1024,224,40.22 -cspresnet50w,2834.87,361.205,1024,256,28.12 -resnext26ts,2829.94,361.833,1024,288,10.3 -vovnet39a,2829.42,361.9,1024,224,22.6 -resnet26,2825.28,362.43,1024,288,16.0 -cspresnet50d,2825.19,362.443,1024,256,21.64 -efficientnet_b2,2821.87,362.869,1024,288,9.11 -regnetv_040,2787.88,367.293,1024,224,20.64 -deit3_medium_patch16_224,2787.35,367.362,1024,224,38.85 -levit_512d,2780.91,368.213,1024,224,92.5 -crossvit_15_dagger_240,2779.72,368.371,1024,240,28.21 -levit_conv_512,2779.63,368.383,1024,224,95.17 -legacy_seresnet50,2769.47,369.734,1024,224,28.09 -regnety_040,2767.99,369.932,1024,224,20.65 -eca_resnext26ts,2755.6,371.596,1024,288,10.3 -seresnext26ts,2753.72,371.849,1024,288,10.39 -convnextv2_femto,2743.73,373.203,1024,288,5.23 -ese_vovnet39b,2742.55,373.364,1024,224,24.57 -convnext_tiny_hnf,2741.42,373.516,1024,224,28.59 -eca_vovnet39b,2740.45,373.65,1024,224,22.6 -resnetv2_50x1_bit,2738.62,373.899,1024,224,25.55 -gcresnext26ts,2727.76,375.388,1024,288,10.48 -resnetaa50,2726.98,375.496,1024,224,25.56 -regnety_032,2726.33,375.584,1024,224,19.44 -densenet121,2713.27,377.393,1024,224,7.98 -mixnet_l,2712.09,377.557,1024,224,7.33 -cs3darknet_focus_l,2710.36,377.797,1024,288,21.15 -tf_efficientnet_cc_b1_8e,2699.4,379.332,1024,240,39.72 -mobilevit_s,2699.15,284.525,768,256,5.58 -seresnet50,2690.88,380.534,1024,224,28.09 -xcit_nano_12_p16_384,2678.06,382.355,1024,384,3.05 -twins_svt_small,2668.73,383.691,1024,224,24.06 -ecaresnet50d_pruned,2658.62,385.151,1024,288,19.94 -convnext_nano,2635.21,388.572,1024,288,15.59 -resnet50_gn,2630.89,389.211,1024,224,25.56 -resnetv2_50d_gn,2622.36,390.476,1024,224,25.57 -xcit_tiny_24_p16_224,2616.72,391.318,1024,224,12.12 -tf_mixnet_l,2615.35,391.524,1024,224,7.33 -cs3darknet_l,2613.79,391.756,1024,288,21.16 -res2net50_48w_2s,2610.9,392.191,1024,224,25.29 -gcvit_xxtiny,2604.25,393.193,1024,224,12.0 -vgg11_bn,2593.83,394.773,1024,224,132.87 -resnetaa50d,2591.39,395.145,1024,224,25.58 -vit_base_resnet26d_224,2585.64,396.022,1024,224,101.4 -davit_tiny,2582.22,396.545,1024,224,28.36 -coatnet_rmlp_nano_rw_224,2576.41,397.441,1024,224,15.15 -resnet26d,2573.34,397.916,1024,288,16.01 -mobilevitv2_125,2573.04,298.471,768,256,7.48 -seresnet50t,2570.16,398.407,1024,224,28.1 -vit_relpos_medium_patch16_cls_224,2568.3,398.696,1024,224,38.76 -nf_regnet_b3,2560.62,399.892,1024,288,18.59 -ecaresnet50d,2556.98,400.46,1024,224,25.58 -levit_conv_512d,2556.11,400.597,1024,224,92.5 -resnetrs50,2519.08,406.487,1024,224,35.69 -mobileone_s3,2513.85,407.333,1024,224,10.17 -twins_pcpvt_small,2505.57,408.678,1024,224,24.11 -resnetblur50,2496.0,410.245,1024,224,25.56 -poolformerv2_s12,2484.9,412.078,1024,224,11.89 -regnetx_040,2481.43,412.654,1024,224,22.12 -convnextv2_nano,2476.91,413.406,1024,224,15.62 -eca_nfnet_l0,2474.84,413.754,1024,224,24.14 -gcresnext50ts,2472.44,414.153,1024,256,15.67 -cs3sedarknet_l,2470.75,414.436,1024,288,21.91 -nfnet_l0,2468.79,414.767,1024,224,35.07 -resnet50s,2458.56,416.493,1024,224,25.68 -tiny_vit_21m_224,2455.65,416.986,1024,224,33.22 -dla60x,2438.44,419.927,1024,224,17.35 -densenetblur121d,2433.83,420.726,1024,224,8.0 -edgenext_small,2421.01,422.951,1024,320,5.59 -resnext50_32x4d,2411.91,424.548,1024,224,25.03 -inception_next_tiny,2402.01,426.297,1024,224,28.06 -convnext_nano_ols,2397.52,427.097,1024,288,15.65 -efficientnet_lite3,2392.1,214.029,512,300,8.2 -vit_relpos_medium_patch16_224,2388.1,428.781,1024,224,38.75 -vit_base_r26_s32_224,2383.37,429.631,1024,224,101.38 -resnetblur50d,2382.02,429.876,1024,224,25.58 -regnetz_c16,2381.97,429.886,1024,256,13.46 -vit_srelpos_medium_patch16_224,2376.31,430.908,1024,224,38.74 -gcresnet50t,2372.86,431.535,1024,256,25.9 -regnety_040_sgn,2372.86,431.536,1024,224,20.65 -res2net50_26w_4s,2357.85,434.282,1024,224,25.7 -vovnet57a,2350.39,435.661,1024,224,36.64 -resmlp_24_224,2349.72,435.785,1024,224,30.02 -maxvit_pico_rw_256,2345.88,327.371,768,256,7.46 -inception_v3,2342.29,437.168,1024,299,23.83 -maxvit_rmlp_pico_rw_256,2342.1,327.901,768,256,7.52 -seresnetaa50d,2334.05,438.712,1024,224,28.11 -focalnet_tiny_srf,2333.12,438.886,1024,224,28.43 -gmixer_24_224,2328.5,439.756,1024,224,24.72 -dla60_res2net,2328.33,439.787,1024,224,20.85 -cspresnext50,2328.12,439.828,1024,256,20.57 -res2net50_14w_8s,2327.67,439.914,1024,224,25.06 -coatnet_0_rw_224,2320.97,441.184,1024,224,27.44 -regnetz_b16,2317.52,441.842,1024,288,9.72 -resnext50d_32x4d,2306.26,443.997,1024,224,25.05 -lambda_resnet26rpt_256,2280.9,336.7,768,256,10.99 -ese_vovnet57b,2279.03,449.304,1024,224,38.61 -resnest50d_1s4x24d,2278.53,449.402,1024,224,25.68 -dla60_res2next,2270.65,450.959,1024,224,17.03 -sehalonet33ts,2261.82,452.721,1024,256,13.69 -res2net50d,2255.23,454.045,1024,224,25.72 -res2next50,2250.33,455.032,1024,224,24.67 -vit_medium_patch16_gap_240,2247.39,455.628,1024,240,44.4 -resnet32ts,2244.11,456.295,1024,288,17.96 -edgenext_base,2238.2,457.496,1024,256,18.51 -tf_efficientnetv2_b3,2226.87,459.825,1024,300,14.36 -skresnet50,2226.74,459.854,1024,224,25.8 -nfnet_f0,2225.99,460.009,1024,192,71.49 -efficientnetv2_rw_t,2224.5,460.317,1024,288,13.65 -darknetaa53,2217.17,461.839,1024,256,36.02 -densenet169,2217.17,461.839,1024,224,14.15 -nf_ecaresnet50,2216.81,461.915,1024,224,25.56 -nf_seresnet50,2215.51,462.186,1024,224,28.09 -edgenext_small_rw,2214.02,462.492,1024,320,7.83 -resnet33ts,2214.0,462.501,1024,288,19.68 -xcit_small_12_p16_224,2203.27,464.75,1024,224,26.25 -focalnet_tiny_lrf,2198.01,465.865,1024,224,28.65 -repvgg_b1g4,2194.22,466.67,1024,224,39.97 -resnet51q,2190.63,467.434,1024,256,35.7 -seresnext50_32x4d,2187.15,468.177,1024,224,27.56 -cs3darknet_focus_x,2185.4,468.552,1024,256,35.02 -legacy_seresnext50_32x4d,2184.19,468.813,1024,224,27.56 -vit_relpos_medium_patch16_rpn_224,2180.15,469.681,1024,224,38.73 -tf_efficientnet_lite3,2177.51,235.121,512,300,8.2 -resnet26t,2171.81,471.484,1024,320,16.01 -gc_efficientnetv2_rw_t,2167.76,472.366,1024,288,13.68 -gmlp_s16_224,2161.8,473.668,1024,224,19.42 -seresnet33ts,2153.91,475.404,1024,288,19.78 -eca_resnet33ts,2152.84,475.64,1024,288,19.68 -fastvit_t12,2148.76,476.544,1024,256,7.55 -nf_regnet_b3,2147.66,476.786,1024,320,18.59 -eva02_small_patch14_224,2147.54,476.813,1024,224,21.62 -skresnet50d,2134.7,479.681,1024,224,25.82 -gcresnet33ts,2133.95,479.85,1024,288,19.88 -fbnetv3_g,2132.0,480.289,1024,288,16.62 -vit_medium_patch16_reg4_gap_256,2131.63,480.373,1024,256,38.87 -ecaresnet101d_pruned,2127.39,481.33,1024,288,24.88 -vit_medium_patch16_reg4_256,2118.14,483.431,1024,256,38.87 -resnetrs101,2102.62,487.0,1024,192,63.62 -eva02_tiny_patch14_336,2101.81,487.188,1024,336,5.76 -convnextv2_pico,2100.83,487.412,1024,288,9.07 -nf_resnet50,2099.68,487.682,1024,256,25.56 -pvt_v2_b2,2098.95,487.853,1024,224,25.36 -poolformer_s24,2095.98,488.543,1024,224,21.39 -efficientnet_b3,2089.74,244.996,512,288,12.23 -ecaresnet50t,2080.55,492.167,1024,256,25.57 -cs3sedarknet_xdw,2078.39,492.675,1024,256,21.6 -darknet53,2077.0,493.009,1024,256,41.61 -mobilevitv2_150,2058.72,248.689,512,256,10.59 -xcit_nano_12_p8_224,2058.08,497.538,1024,224,3.05 -cs3darknet_x,2051.2,499.207,1024,256,35.05 -lambda_resnet50ts,2042.32,501.379,1024,256,21.54 -rexnetr_300,2042.16,501.418,1024,224,34.81 -fastvit_s12,2028.4,504.819,1024,256,9.47 -coatnet_rmlp_0_rw_224,2026.55,505.279,1024,224,27.45 -fastvit_sa12,2023.09,506.145,1024,256,11.58 -gcvit_xtiny,2018.6,507.27,1024,224,19.98 -crossvit_18_240,2016.66,507.758,1024,240,43.27 -vit_medium_patch16_gap_256,1994.57,513.382,1024,256,38.86 -resnet61q,1990.13,514.528,1024,256,36.85 -coatnet_bn_0_rw_224,1985.08,515.833,1024,224,27.44 -vit_base_patch32_384,1981.71,516.713,1024,384,88.3 -vit_base_patch32_clip_384,1979.52,517.285,1024,384,88.3 -sebotnet33ts_256,1977.33,258.926,512,256,13.7 -cspdarknet53,1975.01,518.466,1024,256,27.64 -ecaresnet26t,1970.65,519.615,1024,320,16.01 -vit_base_resnet50d_224,1969.85,519.823,1024,224,110.97 -cs3sedarknet_x,1961.62,522.003,1024,256,35.4 -regnetx_080,1961.04,522.162,1024,224,39.57 -seresnext26t_32x4d,1951.57,524.695,1024,288,16.81 -mixnet_xl,1947.82,525.705,1024,224,11.9 -resnest50d,1945.07,526.448,1024,224,27.48 -seresnext26d_32x4d,1939.94,527.84,1024,288,16.81 -swin_tiny_patch4_window7_224,1934.82,529.237,1024,224,28.29 -coatnet_0_224,1934.24,264.694,512,224,25.04 -resnetv2_101,1933.54,529.587,1024,224,44.54 -regnetx_064,1932.41,529.896,1024,224,26.21 -dla102,1928.87,530.869,1024,224,33.27 -crossvit_18_dagger_240,1917.74,533.949,1024,240,44.27 -rexnetr_200,1914.58,267.412,512,288,16.52 -rexnet_300,1911.27,535.759,1024,224,34.71 -nest_tiny,1908.18,536.626,1024,224,17.06 -dm_nfnet_f0,1907.59,536.79,1024,192,71.49 -ecaresnetlight,1899.12,539.185,1024,288,30.16 -maxxvit_rmlp_nano_rw_256,1892.47,405.81,768,256,16.78 -nest_tiny_jx,1882.8,543.86,1024,224,17.06 -resnet101,1882.41,543.973,1024,224,44.55 -pvt_v2_b2_li,1882.22,544.026,1024,224,22.55 -vit_large_patch32_224,1869.0,547.873,1024,224,305.51 -vgg13,1868.62,547.987,1024,224,133.05 -efficientformer_l3,1865.13,549.011,1024,224,31.41 -resnetv2_101d,1863.64,549.448,1024,224,44.56 -resnetv2_50,1862.34,549.834,1024,288,25.55 -mobileone_s4,1856.17,551.662,1024,224,14.95 -res2net50_26w_6s,1853.01,552.601,1024,224,37.05 -lamhalobotnet50ts_256,1841.66,556.008,1024,256,22.57 -maxvit_nano_rw_256,1832.67,419.051,768,256,15.45 -maxvit_rmlp_nano_rw_256,1828.8,419.937,768,256,15.5 -convnext_small,1827.79,560.226,1024,224,50.22 -resnet101c,1825.41,560.958,1024,224,44.57 -convnext_tiny,1817.45,563.414,1024,288,28.59 -gcresnext50ts,1802.02,568.239,1024,288,15.67 -efficientnetv2_s,1800.73,568.648,1024,288,21.46 -pit_b_distilled_224,1798.49,569.354,1024,224,74.79 -resnet50,1790.49,571.9,1024,288,25.56 -twins_pcpvt_base,1773.87,577.255,1024,224,43.83 -halonet50ts,1772.02,577.862,1024,256,22.73 -dpn68b,1770.79,578.261,1024,288,12.61 -hrnet_w18_ssld,1770.59,578.326,1024,224,21.3 -swin_s3_tiny_224,1765.48,580.001,1024,224,28.33 -pit_b_224,1764.86,580.204,1024,224,73.76 -hrnet_w18,1762.52,580.974,1024,224,21.3 -coat_lite_small,1746.3,586.367,1024,224,19.84 -repvgg_b1,1744.67,586.919,1024,224,57.42 -wide_resnet50_2,1744.38,587.016,1024,224,68.88 -efficientnet_b3,1739.53,294.324,512,320,12.23 -gcresnet50t,1732.41,591.073,1024,288,25.9 -densenet201,1730.98,591.561,1024,224,20.01 -tresnet_v2_l,1730.11,591.859,1024,224,46.17 -tf_efficientnet_b3,1723.75,297.017,512,300,12.23 -efficientnetv2_rw_s,1721.17,594.935,1024,288,23.94 -darknetaa53,1719.65,595.458,1024,288,36.02 -maxxvitv2_nano_rw_256,1704.5,450.564,768,256,23.7 -cait_xxs24_224,1701.16,601.932,1024,224,11.96 -xcit_tiny_12_p16_384,1700.07,602.317,1024,384,6.72 -resnetaa101d,1698.41,602.907,1024,224,44.57 -resnet50t,1695.03,604.108,1024,288,25.57 -legacy_seresnet101,1693.95,604.491,1024,224,49.33 -cs3edgenet_x,1690.25,605.814,1024,256,47.82 -resnet50d,1683.89,608.104,1024,288,25.58 -mobilevitv2_175,1677.04,305.289,512,256,14.25 -regnetv_064,1673.12,612.016,1024,224,30.58 -efficientnet_b3_gn,1668.91,306.776,512,288,11.73 -convnext_tiny_hnf,1668.74,613.624,1024,288,28.59 -regnety_064,1668.12,613.852,1024,224,30.58 -ese_vovnet39b,1666.78,460.759,768,288,24.57 -seresnet101,1665.29,614.897,1024,224,49.33 -regnety_032,1660.86,616.535,1024,288,19.44 -regnetv_040,1656.62,618.116,1024,288,20.64 -regnety_080,1645.93,622.129,1024,224,39.18 -regnety_040,1645.54,622.278,1024,288,20.65 -resnet101s,1641.04,623.981,1024,224,44.67 -mixer_b16_224,1625.33,630.017,1024,224,59.88 -nf_resnet101,1622.83,630.985,1024,224,44.55 -dla102x,1622.33,631.179,1024,224,26.31 -ecaresnet101d,1618.49,632.678,1024,224,44.57 -convnextv2_tiny,1618.33,632.74,1024,224,28.64 -swinv2_cr_tiny_224,1617.68,632.992,1024,224,28.33 -repvit_m2_3,1617.36,633.119,1024,224,23.69 -darknet53,1615.29,633.93,1024,288,41.61 -resnetaa50,1609.1,636.368,1024,288,25.56 -efficientvit_b3,1606.82,637.273,1024,224,48.65 -resnetblur101d,1605.03,637.984,1024,224,44.57 -regnetz_b16_evos,1602.23,639.099,1024,224,9.74 -regnetz_d32,1601.11,639.544,1024,256,27.58 -davit_small,1600.31,639.864,1024,224,49.75 -ese_vovnet39b_evos,1598.87,640.441,1024,224,24.58 -seresnet50,1594.86,642.049,1024,288,28.09 -nf_regnet_b4,1591.79,643.29,1024,320,30.21 -cs3se_edgenet_x,1591.51,643.403,1024,256,50.72 -swinv2_cr_tiny_ns_224,1589.67,644.148,1024,224,28.33 -sequencer2d_s,1585.42,645.875,1024,224,27.65 -densenet121,1581.79,647.353,1024,288,7.98 -tf_efficientnetv2_s,1581.54,647.457,1024,300,21.46 -regnetz_d8,1579.24,648.403,1024,256,23.37 -resnet51q,1577.75,649.014,1024,288,35.7 -mixer_l32_224,1577.42,649.148,1024,224,206.94 -resmlp_36_224,1575.92,649.767,1024,224,44.69 -regnetz_040,1574.3,650.436,1024,256,27.12 -botnet50ts_256,1573.64,325.35,512,256,22.74 -resnet50_gn,1569.82,652.292,1024,288,25.56 -vit_base_patch16_224,1568.55,652.822,1024,224,86.57 -deit_base_patch16_224,1568.14,652.991,1024,224,86.57 -vit_base_patch16_224_miil,1567.79,653.139,1024,224,94.4 -cs3darknet_x,1567.68,653.182,1024,288,35.05 -deit_base_distilled_patch16_224,1566.71,653.585,1024,224,87.34 -vit_base_patch16_clip_224,1565.37,654.148,1024,224,86.57 -regnetz_040_h,1564.36,654.567,1024,256,28.94 -resnetv2_50d_gn,1556.77,657.761,1024,288,25.57 -resnetv2_50d_frn,1551.95,659.802,1024,224,25.59 -tresnet_l,1529.86,669.328,1024,224,55.99 -regnety_080_tv,1527.97,670.16,1024,224,39.38 -nf_resnet50,1524.27,671.785,1024,288,25.56 -caformer_s18,1523.03,672.329,1024,224,26.34 -resnetaa50d,1521.16,673.159,1024,288,25.58 -seresnet50t,1517.39,674.832,1024,288,28.1 -resnet101d,1515.94,675.477,1024,256,44.57 -mvitv2_tiny,1515.82,675.529,1024,224,24.17 -pvt_v2_b3,1514.93,675.926,1024,224,45.24 -maxvit_tiny_rw_224,1513.3,507.489,768,224,29.06 -ecaresnet50d,1508.8,678.674,1024,288,25.58 -convnextv2_nano,1504.5,510.457,768,288,15.62 -halo2botnet50ts_256,1498.93,683.14,1024,256,22.64 -cs3sedarknet_x,1498.72,683.238,1024,288,35.4 -res2net50_26w_8s,1498.46,683.356,1024,224,48.4 -resnext101_32x4d,1496.36,684.315,1024,224,44.18 -deit3_base_patch16_224,1487.82,688.242,1024,224,86.59 -regnetz_c16,1478.82,692.434,1024,320,13.46 -resnetblur50,1477.74,692.938,1024,288,25.56 -resnest50d_4s2x40d,1477.17,693.205,1024,224,30.42 -skresnext50_32x4d,1471.95,695.667,1024,224,27.48 -eca_nfnet_l0,1464.47,699.22,1024,288,24.14 -mobilevitv2_200,1462.84,524.996,768,256,18.45 -vit_base_patch32_clip_448,1462.25,700.28,1024,448,88.34 -resnet61q,1459.65,701.528,1024,288,36.85 -nfnet_l0,1458.46,702.099,1024,288,35.07 -vit_small_patch16_36x1_224,1458.05,702.294,1024,224,64.67 -res2net101_26w_4s,1449.05,706.658,1024,224,45.21 -vit_small_resnet50d_s16_224,1446.64,707.833,1024,224,57.53 -beit_base_patch16_224,1446.06,708.118,1024,224,86.53 -vit_base_patch16_siglip_224,1439.23,711.48,1024,224,92.88 -beitv2_base_patch16_224,1436.83,712.664,1024,224,86.53 -regnety_040_sgn,1436.11,713.024,1024,288,20.65 -vit_base_patch16_gap_224,1432.29,714.93,1024,224,86.57 -convit_small,1431.72,715.21,1024,224,27.78 -edgenext_base,1422.76,719.715,1024,320,18.51 -convformer_s18,1422.37,719.907,1024,224,26.77 -focalnet_small_srf,1418.66,721.794,1024,224,49.89 -densenetblur121d,1418.35,721.956,1024,288,8.0 -resnetv2_50d_evos,1415.35,723.483,1024,224,25.59 -coatnet_rmlp_1_rw_224,1413.66,724.348,1024,224,41.69 -poolformer_s36,1413.23,724.568,1024,224,30.86 -res2net101d,1409.67,726.4,1024,224,45.23 -vit_small_patch16_18x2_224,1405.75,728.423,1024,224,64.67 -legacy_xception,1403.68,729.501,1024,299,22.86 -resnext50_32x4d,1402.62,730.053,1024,288,25.03 -resnetblur50d,1400.89,730.951,1024,288,25.58 -inception_next_small,1396.73,733.129,1024,224,49.37 -repvgg_b2g4,1393.52,734.821,1024,224,61.76 -gcvit_tiny,1388.89,737.269,1024,224,28.22 -vit_relpos_base_patch16_cls_224,1384.35,739.686,1024,224,86.43 -vit_base_patch16_clip_quickgelu_224,1384.23,739.749,1024,224,86.19 -vit_relpos_base_patch16_clsgap_224,1384.18,739.775,1024,224,86.43 -vit_small_patch16_384,1380.13,741.948,1024,384,22.2 -seresnetaa50d,1379.55,742.261,1024,288,28.11 -dpn92,1378.54,742.803,1024,224,37.67 -nf_ecaresnet101,1375.78,744.295,1024,224,44.55 -nf_seresnet101,1374.01,745.244,1024,224,49.33 -efficientnet_b3_gn,1365.87,281.13,384,320,11.73 -flexivit_base,1365.27,750.023,1024,240,86.59 -vgg16_bn,1360.78,752.496,1024,224,138.37 -efficientformerv2_s0,1357.6,754.26,1024,224,3.6 -seresnext101_32x4d,1356.19,755.047,1024,224,48.96 -legacy_seresnext101_32x4d,1355.09,755.658,1024,224,48.96 -resnetv2_152,1353.87,756.339,1024,224,60.19 -efficientnet_b3_g8_gn,1341.81,572.353,768,288,14.25 -efficientnet_b4,1339.68,382.171,512,320,19.34 -resnext50d_32x4d,1336.86,765.965,1024,288,25.05 -focalnet_small_lrf,1335.62,766.674,1024,224,50.34 -nfnet_f0,1333.77,767.738,1024,256,71.49 -resnet152,1332.5,768.469,1024,224,60.19 -ese_vovnet99b,1327.93,771.114,1024,224,63.2 -resnetv2_152d,1320.88,775.228,1024,224,60.2 -regnetx_120,1316.89,777.577,1024,224,46.11 -hrnet_w32,1308.23,782.725,1024,224,41.23 -xception41p,1307.49,391.582,512,299,26.91 -xcit_tiny_12_p8_224,1306.52,783.749,1024,224,6.71 -vit_relpos_base_patch16_224,1305.94,784.098,1024,224,86.43 -resnet152c,1302.98,785.882,1024,224,60.21 -coatnet_1_rw_224,1302.02,786.458,1024,224,41.72 -coatnet_rmlp_1_rw2_224,1301.48,786.784,1024,224,41.72 -vit_base_patch16_xp_224,1298.04,788.868,1024,224,86.51 -maxvit_tiny_tf_224,1296.75,592.24,768,224,30.92 -cs3edgenet_x,1296.18,790.002,1024,288,47.82 -twins_pcpvt_large,1295.71,790.286,1024,224,60.99 -poolformerv2_s24,1287.87,795.098,1024,224,21.34 -dla169,1278.65,800.834,1024,224,53.39 -seresnext50_32x4d,1277.21,801.739,1024,288,27.56 -deit3_small_patch16_384,1274.8,803.254,1024,384,22.21 -hrnet_w30,1274.16,803.657,1024,224,37.71 -efficientnet_el_pruned,1273.72,803.934,1024,300,10.59 -ecaresnet50t,1273.47,804.09,1024,320,25.57 -efficientnet_el,1271.26,805.491,1024,300,10.59 -maxxvit_rmlp_tiny_rw_256,1267.96,605.686,768,256,29.64 -volo_d1_224,1263.32,810.554,1024,224,26.63 -vgg19,1262.87,810.843,1024,224,143.67 -convnext_base,1259.33,813.117,1024,224,88.59 -rexnetr_300,1257.31,407.208,512,288,34.81 -densenet161,1252.84,817.331,1024,224,28.68 -vit_base_patch16_rpn_224,1252.61,817.476,1024,224,86.54 -efficientformerv2_s1,1251.22,818.39,1024,224,6.19 -twins_svt_base,1249.13,819.758,1024,224,56.07 -regnety_120,1249.0,819.842,1024,224,51.82 -tf_efficientnet_el,1239.69,826.003,1024,300,10.59 -sequencer2d_m,1237.49,827.468,1024,224,38.31 -nest_small,1228.77,833.342,1024,224,38.35 -maxvit_tiny_rw_256,1228.01,625.389,768,256,29.07 -maxvit_rmlp_tiny_rw_256,1225.92,626.46,768,256,29.15 -repvgg_b2,1220.37,839.079,1024,224,89.02 -nest_small_jx,1219.2,839.882,1024,224,38.35 -mixnet_xxl,1210.79,634.285,768,224,23.96 -resnet152s,1206.44,848.764,1024,224,60.32 -swin_small_patch4_window7_224,1200.15,853.215,1024,224,49.61 -swinv2_tiny_window8_256,1191.02,859.756,1024,256,28.35 -inception_v4,1190.64,860.029,1024,299,42.68 -legacy_seresnet152,1186.85,862.778,1024,224,66.82 -coatnet_1_224,1186.09,431.657,512,224,42.23 -xcit_small_24_p16_224,1177.69,869.484,1024,224,47.67 -eca_nfnet_l1,1176.03,870.715,1024,256,41.41 -vit_relpos_base_patch16_rpn_224,1173.85,872.326,1024,224,86.41 -seresnet152,1173.39,872.675,1024,224,66.82 -maxvit_tiny_pm_256,1170.13,656.325,768,256,30.09 -crossvit_base_240,1162.45,880.881,1024,240,105.03 -efficientnet_lite4,1156.19,332.116,384,380,13.01 -regnetx_160,1153.22,887.934,1024,224,54.28 -xception41,1152.77,444.137,512,299,26.97 -vgg19_bn,1150.89,889.738,1024,224,143.68 -cait_xxs36_224,1140.91,897.513,1024,224,17.3 -tresnet_xl,1138.68,899.277,1024,224,78.44 -tnt_s_patch16_224,1134.34,902.711,1024,224,23.76 -dm_nfnet_f0,1133.9,903.064,1024,256,71.49 -davit_base,1133.21,903.615,1024,224,87.95 -resnetv2_101,1130.91,905.453,1024,288,44.54 -mvitv2_small_cls,1128.61,907.296,1024,224,34.87 -mvitv2_small,1127.06,908.547,1024,224,34.87 -coat_tiny,1124.53,910.592,1024,224,5.5 -convmixer_1024_20_ks9_p14,1123.08,911.765,1024,224,24.38 -vit_base_patch16_reg8_gap_256,1117.11,916.638,1024,256,86.62 -fastvit_sa24,1113.94,919.244,1024,256,21.55 -repvgg_b3g4,1112.29,920.611,1024,224,83.83 -convnext_small,1111.81,921.006,1024,288,50.22 -vit_base_patch16_siglip_256,1110.12,922.406,1024,256,92.93 -dla102x2,1103.31,928.102,1024,224,41.28 -resnet101,1103.23,928.17,1024,288,44.55 -pvt_v2_b4,1101.92,929.272,1024,224,62.56 -vgg13_bn,1089.92,939.505,1024,224,133.05 -resnet152d,1089.61,939.776,1024,256,60.21 -vit_large_r50_s32_224,1089.5,939.869,1024,224,328.99 -eva02_base_patch16_clip_224,1089.45,939.911,1024,224,86.26 -nf_regnet_b4,1088.0,941.168,1024,384,30.21 -efficientnet_b3_g8_gn,1085.14,707.729,768,320,14.25 -vit_small_r26_s32_384,1083.81,944.804,1024,384,36.47 -efficientnetv2_s,1080.32,947.853,1024,384,21.46 -tf_efficientnet_lite4,1073.38,357.739,384,380,13.01 -pvt_v2_b5,1068.02,958.771,1024,224,81.96 -hrnet_w18_ssld,1064.57,961.881,1024,288,21.3 -tf_efficientnetv2_s,1053.35,972.123,1024,384,21.46 -regnety_160,1045.52,979.408,1024,224,83.59 -wide_resnet50_2,1025.56,998.47,1024,288,68.88 -samvit_base_patch16_224,1024.72,999.289,1024,224,86.46 -efficientnetv2_rw_s,1023.81,1000.17,1024,384,23.94 -vgg16,1019.4,1004.501,1024,224,138.36 -cs3se_edgenet_x,1012.03,1011.811,1024,320,50.72 -vit_base_patch16_plus_240,1000.2,1023.782,1024,240,117.56 -swinv2_cr_small_224,1000.11,1023.873,1024,224,49.7 -dpn98,996.72,1027.354,1024,224,61.57 -wide_resnet101_2,996.51,1027.572,1024,224,126.89 -resnetaa101d,996.03,1028.069,1024,288,44.57 -regnetz_d32,993.2,1030.998,1024,320,27.58 -convnextv2_small,989.78,1034.561,1024,224,50.32 -swinv2_cr_small_ns_224,989.53,1034.824,1024,224,49.7 -focalnet_base_srf,988.37,1036.038,1024,224,88.15 -resnet200,984.63,1039.972,1024,224,64.67 -convnextv2_tiny,984.26,780.268,768,288,28.64 -seresnet101,983.38,1041.293,1024,288,49.33 -vit_small_patch8_224,981.64,1043.139,1024,224,21.67 -inception_next_base,980.94,1043.879,1024,224,86.67 -regnetz_d8,978.7,1046.271,1024,320,23.37 -regnety_080,977.27,1047.804,1024,288,39.18 -vit_base_r50_s16_224,974.93,1050.317,1024,224,97.89 -resnest101e,967.17,1058.742,1024,256,48.28 -regnetz_c16_evos,965.06,795.798,768,256,13.49 -poolformer_m36,964.38,1061.807,1024,224,56.17 -regnetz_040,962.87,531.734,512,320,27.12 -regnetz_b16_evos,961.02,799.141,768,288,9.74 -inception_resnet_v2,958.41,1068.419,1024,299,55.84 -regnetz_040_h,958.11,534.376,512,320,28.94 -seresnet152d,955.71,1071.442,1024,256,66.84 -ecaresnet101d,951.32,1076.383,1024,288,44.57 -resnetrs152,949.84,1078.066,1024,256,86.62 -regnety_064,948.9,1079.127,1024,288,30.58 -resnext101_64x4d,946.81,1081.511,1024,224,83.46 -regnetv_064,946.75,1081.583,1024,288,30.58 -xception65p,944.95,541.815,512,299,39.82 -resnetrs101,942.9,1086.001,1024,288,63.62 -resnetblur101d,942.36,1086.619,1024,288,44.57 -resnext101_32x8d,940.22,1089.094,1024,224,88.79 -focalnet_base_lrf,939.13,1090.355,1024,224,88.75 -repvgg_b3,933.4,1097.059,1024,224,123.09 -hrnet_w40,931.86,1098.86,1024,224,57.56 -nfnet_f1,925.5,1106.414,1024,224,132.63 -eva02_small_patch14_336,923.0,1109.408,1024,336,22.13 -resnet101d,922.61,1109.883,1024,320,44.57 -xcit_tiny_24_p16_384,911.01,1124.012,1024,384,12.12 -efficientnet_b4,909.21,422.334,384,384,19.34 -cait_s24_224,903.48,1133.383,1024,224,46.92 -maxvit_rmlp_small_rw_224,897.3,855.888,768,224,64.9 -coat_lite_medium,894.08,1145.297,1024,224,44.57 -coat_mini,893.79,1145.666,1024,224,10.34 -efficientnetv2_m,889.98,1150.573,1024,320,54.14 -seresnext101_64x4d,889.25,1151.527,1024,224,88.23 -gmlp_b16_224,886.97,1154.482,1024,224,73.08 -seresnext101_32x8d,883.89,1158.501,1024,224,93.57 -swin_s3_small_224,878.11,874.596,768,224,49.74 -vit_relpos_base_patch16_plus_240,874.71,1170.659,1024,240,117.38 -efficientformer_l7,873.18,1172.708,1024,224,82.23 -poolformerv2_s36,868.91,1178.471,1024,224,30.79 -nest_base,868.23,1179.392,1024,224,67.72 -seresnext101d_32x8d,868.0,1179.709,1024,224,93.59 -maxvit_small_tf_224,866.68,590.747,512,224,68.93 -nest_base_jx,861.4,1188.751,1024,224,67.72 -levit_384_s8,855.04,598.797,512,224,39.12 -swin_base_patch4_window7_224,853.14,1200.263,1024,224,87.77 -coatnet_2_rw_224,852.46,600.606,512,224,73.87 -regnetz_e8,852.29,1201.462,1024,256,57.7 -tf_efficientnet_b4,850.74,451.363,384,380,19.34 -gcvit_small,841.02,1217.553,1024,224,51.09 -resnetv2_50d_evos,839.87,1219.229,1024,288,25.59 -xception65,839.19,610.1,512,299,39.92 -levit_conv_384_s8,836.16,612.312,512,224,39.12 -crossvit_15_dagger_408,834.91,1226.467,1024,408,28.5 -hrnet_w44,833.93,1227.913,1024,224,67.06 -tiny_vit_21m_384,826.05,619.804,512,384,21.23 -twins_svt_large,824.03,1242.653,1024,224,99.27 -xcit_medium_24_p16_224,819.52,1249.493,1024,224,84.4 -eva02_base_patch14_224,818.22,1251.486,1024,224,85.76 -coatnet_rmlp_2_rw_224,813.98,628.996,512,224,73.88 -hrnet_w48_ssld,812.03,1261.021,1024,224,77.47 -hrnet_w48,810.38,1263.598,1024,224,77.47 -caformer_s36,810.11,1264.013,1024,224,39.3 -resnet200d,803.01,1275.187,1024,256,64.69 -sequencer2d_l,802.52,1275.969,1024,224,54.3 -maxxvit_rmlp_small_rw_256,801.43,958.273,768,256,66.01 -dm_nfnet_f1,799.33,1281.054,1024,224,132.63 -swinv2_base_window12_192,798.63,1282.191,1024,192,109.28 -coatnet_2_224,796.97,642.425,512,224,74.68 -vit_medium_patch16_gap_384,794.32,1289.134,1024,384,39.03 -mvitv2_base_cls,790.15,1295.95,1024,224,65.44 -mvitv2_base,786.03,1302.746,1024,224,51.47 -efficientnetv2_rw_m,784.99,1304.469,1024,320,53.24 -resnet152,781.39,1310.48,1024,288,60.19 -swinv2_tiny_window16_256,775.16,660.497,512,256,28.35 -fastvit_sa36,768.05,1333.231,1024,256,31.53 -xcit_small_12_p16_384,764.31,1339.763,1024,384,26.25 -convnext_base,763.63,1340.952,1024,288,88.59 -convformer_s36,755.1,1356.101,1024,224,40.01 -regnety_120,737.8,1040.923,768,288,51.82 -swinv2_small_window8_256,737.52,1388.428,1024,256,49.73 -dpn131,732.56,1397.819,1024,224,79.25 -convit_base,730.89,1401.016,1024,224,86.54 -swinv2_cr_small_ns_256,730.36,1402.04,1024,256,49.7 -poolformer_m48,727.18,1408.16,1024,224,73.47 -maxvit_rmlp_small_rw_256,723.57,1061.387,768,256,64.9 -tnt_b_patch16_224,720.33,1421.551,1024,224,65.41 -eca_nfnet_l1,720.19,1421.826,1024,320,41.41 -swinv2_cr_base_224,715.27,1431.615,1024,224,87.88 -swin_s3_base_224,714.65,1432.859,1024,224,71.13 -swinv2_cr_base_ns_224,710.8,1440.615,1024,224,87.88 -volo_d2_224,710.59,1441.034,1024,224,58.68 -convnextv2_base,708.29,1084.288,768,224,88.72 -ecaresnet200d,697.81,1467.426,1024,256,64.69 -densenet264d,697.62,1467.825,1024,224,72.74 -seresnet200d,695.87,1471.521,1024,256,71.86 -seresnet152,693.58,1476.394,1024,288,66.82 -nf_regnet_b5,693.41,1476.754,1024,384,49.74 -resnetrs200,692.79,1478.068,1024,256,93.21 -coat_small,688.77,1486.694,1024,224,21.69 -convnext_large,686.18,1492.303,1024,224,197.77 -xcit_tiny_24_p8_224,683.59,1497.962,1024,224,12.11 -dpn107,666.0,1537.512,1024,224,86.92 -resnet152d,665.26,1539.243,1024,320,60.21 -senet154,664.04,1542.069,1024,224,115.09 -legacy_senet154,663.51,1543.297,1024,224,115.09 -efficientformerv2_s2,658.97,1553.932,1024,224,12.71 -xcit_nano_12_p8_384,650.59,1573.952,1024,384,3.05 -maxxvitv2_rmlp_base_rw_224,649.93,1181.648,768,224,116.09 -xception71,648.97,788.93,512,299,42.34 -vit_large_patch32_384,642.95,1592.652,1024,384,306.63 -davit_large,628.56,1629.119,1024,224,196.81 -hrnet_w64,628.32,1629.73,1024,224,128.06 -regnetz_d8_evos,626.83,1633.607,1024,256,23.46 -regnety_160,626.34,1226.162,768,288,83.59 -fastvit_ma36,615.6,1663.405,1024,256,44.07 -tf_efficientnetv2_m,614.0,1667.729,1024,384,54.14 -gcvit_base,612.81,1670.971,1024,224,90.32 -regnety_320,611.46,1674.668,1024,224,145.05 -poolformerv2_m36,608.91,1681.683,1024,224,56.08 -regnetz_c16_evos,607.97,842.14,512,320,13.49 -seresnet152d,585.08,1750.161,1024,320,66.84 -xcit_small_12_p8_224,584.56,1751.736,1024,224,26.21 -resnet200,584.35,1752.367,1024,288,64.67 -resnetrs152,581.22,1761.806,1024,320,86.62 -caformer_m36,580.93,1762.666,1024,224,56.2 -resnext101_64x4d,579.18,1767.999,1024,288,83.46 -levit_conv_512_s8,579.14,442.023,256,224,74.05 -crossvit_18_dagger_408,578.85,1768.997,1024,408,44.61 -levit_512_s8,564.58,453.424,256,224,74.05 -convformer_m36,547.39,1870.676,1024,224,57.05 -seresnet269d,544.99,1878.923,1024,256,113.67 -seresnext101_32x8d,537.69,1904.421,1024,288,93.57 -efficientnetv2_m,531.41,1926.948,1024,416,54.14 -resnetrs270,529.12,1935.291,1024,256,129.86 -regnetz_e8,528.36,1453.532,768,320,57.7 -swinv2_base_window8_256,528.24,1938.492,1024,256,87.92 -maxvit_rmlp_base_rw_224,528.2,1453.98,768,224,116.14 -seresnext101d_32x8d,527.29,1941.997,1024,288,93.59 -nfnet_f2,523.57,1955.772,1024,256,193.78 -regnetx_320,522.6,1959.426,1024,224,107.81 -halonet_h1,522.59,489.854,256,256,8.1 -mixer_l16_224,519.46,1971.254,1024,224,208.2 -resnext101_32x16d,519.3,1971.885,1024,224,194.03 -eca_nfnet_l2,509.27,2010.714,1024,320,56.72 -ecaresnet200d,503.79,2032.567,1024,288,64.69 -seresnet200d,502.73,2036.878,1024,288,71.86 -volo_d3_224,496.25,2063.459,1024,224,86.33 -resnet200d,493.52,2074.857,1024,320,64.69 -swin_large_patch4_window7_224,492.19,1560.376,768,224,196.53 -vit_base_patch16_18x2_224,491.96,2081.469,1024,224,256.73 -vit_base_patch16_384,491.93,2081.563,1024,384,86.86 -deit_base_patch16_384,491.69,2082.601,1024,384,86.86 -vit_base_patch16_clip_384,491.27,2084.393,1024,384,86.86 -deit_base_distilled_patch16_384,491.02,2085.422,1024,384,87.63 -hrnet_w48_ssld,489.9,2090.192,1024,288,77.47 -eva_large_patch14_196,489.53,2091.799,1024,196,304.14 -efficientnet_b5,488.69,523.836,256,448,30.39 -vit_large_patch16_224,488.62,2095.696,1024,224,304.33 -maxvit_base_tf_224,488.43,1048.245,512,224,119.47 -swinv2_small_window16_256,486.31,1052.814,512,256,49.73 -swinv2_large_window12_192,485.32,1582.435,768,192,228.77 -seresnextaa101d_32x8d,479.71,2134.595,1024,288,93.59 -coatnet_3_rw_224,478.53,534.957,256,224,181.81 -coatnet_rmlp_3_rw_224,478.38,535.13,256,224,165.15 -xcit_large_24_p16_224,471.09,2173.68,1024,224,189.1 -vit_small_patch14_dinov2,468.79,2184.315,1024,518,22.06 -deit3_base_patch16_384,466.96,2192.908,1024,384,86.88 -nfnet_f1,466.13,2196.819,1024,320,132.63 -efficientnetv2_rw_m,466.11,1647.667,768,416,53.24 -deit3_large_patch16_224,465.95,2197.647,1024,224,304.37 -nf_regnet_b5,464.29,1654.116,768,456,49.74 -coatnet_3_224,463.38,552.449,256,224,166.97 -poolformerv2_m48,459.06,2230.639,1024,224,73.35 -vit_small_patch14_reg4_dinov2,457.95,2236.044,1024,518,22.06 -beit_large_patch16_224,452.5,2262.991,1024,224,304.43 -beitv2_large_patch16_224,452.24,2264.25,1024,224,304.43 -resnetv2_101x1_bit,451.13,1134.912,512,448,44.54 -dm_nfnet_f2,451.09,2270.065,1024,256,193.78 -vit_base_patch16_siglip_384,447.91,2286.136,1024,384,93.18 -resnetv2_152x2_bit,441.2,2320.931,1024,224,236.34 -convnext_xlarge,435.7,1762.678,768,224,350.2 -maxvit_tiny_tf_384,434.5,589.168,256,384,30.98 -efficientformerv2_l,430.78,2377.072,1024,224,26.32 -convnextv2_base,428.85,1193.879,512,288,88.72 -resnetrs200,427.82,2393.521,1024,320,93.21 -flexivit_large,424.63,2411.487,1024,240,304.36 -convnextv2_large,422.62,1211.48,512,224,197.96 -xcit_tiny_12_p8_384,422.51,2423.574,1024,384,6.71 -swinv2_cr_large_224,422.24,1818.85,768,224,196.68 -caformer_b36,419.22,1831.944,768,224,98.75 -swinv2_cr_tiny_384,418.45,611.778,256,384,28.33 -tf_efficientnet_b5,417.97,612.467,256,456,30.39 -convnext_large,414.98,1233.784,512,288,197.77 -davit_huge,409.94,1248.958,512,224,348.92 -maxxvitv2_rmlp_large_rw_224,409.16,1876.983,768,224,215.42 -xcit_small_24_p16_384,407.61,2512.197,1024,384,47.67 -tiny_vit_21m_512,407.24,942.915,384,512,21.27 -tf_efficientnetv2_m,404.92,1896.638,768,480,54.14 -beit_base_patch16_384,402.33,2545.161,1024,384,86.74 -convformer_b36,396.82,1935.395,768,224,99.88 -regnetz_d8_evos,395.75,1940.619,768,320,23.46 -seresnextaa101d_32x8d,395.27,2590.643,1024,320,93.59 -dm_nfnet_f1,393.48,2602.414,1024,320,132.63 -seresnet269d,393.3,2603.613,1024,288,113.67 -vit_large_r50_s32_384,372.7,2747.516,1024,384,329.09 -eca_nfnet_l2,361.45,2124.745,768,384,56.72 -vit_large_patch14_224,359.97,2844.684,1024,224,304.2 -vit_large_patch14_clip_224,358.99,2852.461,1024,224,304.2 -swinv2_base_window12to16_192to256,358.17,1072.102,384,256,87.92 -swinv2_base_window16_256,358.1,1072.329,384,256,87.92 -vit_base_patch8_224,350.9,2918.181,1024,224,86.58 -vit_large_patch16_siglip_256,350.9,2918.159,1024,256,315.96 -efficientnetv2_l,342.69,2988.111,1024,384,118.52 -tf_efficientnetv2_l,339.15,3019.333,1024,384,118.52 -ecaresnet269d,337.2,3036.787,1024,320,102.09 -resnest200e,336.35,3044.445,1024,320,70.2 -maxvit_large_tf_224,336.16,1142.287,384,224,211.79 -convnext_large_mlp,335.8,1524.698,512,320,200.13 -eca_nfnet_l3,328.31,2339.259,768,352,72.04 -vit_large_patch14_clip_quickgelu_224,324.18,3158.739,1024,224,303.97 -repvgg_d2se,319.89,3201.061,1024,320,133.33 -vit_base_r50_s16_384,317.07,3229.518,1024,384,98.95 -volo_d4_224,316.19,3238.534,1024,224,192.96 -volo_d1_384,313.82,1631.503,512,384,26.78 -vit_large_patch14_xp_224,309.67,3306.773,1024,224,304.06 -convmixer_768_32,308.59,3318.269,1024,224,21.11 -xcit_small_24_p8_224,305.02,3357.174,1024,224,47.63 -resnetrs350,304.17,3366.506,1024,288,163.96 -nasnetalarge,300.23,1278.999,384,331,88.75 -coat_lite_medium_384,299.59,1708.99,512,384,44.57 -maxvit_small_tf_384,288.03,666.589,192,384,69.02 -pnasnet5large,286.97,1338.113,384,331,86.06 -xcit_medium_24_p16_384,282.56,3623.964,1024,384,84.4 -ecaresnet269d,281.14,3642.339,1024,352,102.09 -coatnet_4_224,280.16,913.762,256,224,275.43 -cait_xxs24_384,277.32,3692.483,1024,384,12.03 -coatnet_rmlp_2_rw_384,274.28,700.014,192,384,73.88 -resnetrs270,271.51,3771.496,1024,352,129.86 -nfnet_f2,270.73,2836.743,768,352,193.78 -convnext_xlarge,263.76,1941.176,512,288,350.2 -swinv2_cr_small_384,257.83,992.89,256,384,49.7 -efficientnet_b6,257.53,497.025,128,528,43.04 -eva02_large_patch14_224,256.64,3989.961,1024,224,303.27 -convnextv2_large,256.22,999.138,256,288,197.96 -eva02_large_patch14_clip_224,253.52,4039.167,1024,224,304.11 -resnext101_32x32d,251.81,2033.269,512,224,468.53 -maxvit_tiny_tf_512,249.4,769.843,192,512,31.05 -tf_efficientnet_b6,247.36,517.463,128,528,43.04 -nfnet_f3,247.03,4145.191,1024,320,254.92 -vit_so400m_patch14_siglip_224,246.43,4155.257,1024,224,427.68 -mvitv2_large_cls,245.99,3122.102,768,224,234.58 -efficientnetv2_xl,244.79,4183.218,1024,384,208.12 -mvitv2_large,242.39,2112.259,512,224,217.99 -vit_base_patch16_siglip_512,241.1,2123.61,512,512,93.52 -dm_nfnet_f2,233.43,3290.032,768,352,193.78 -tf_efficientnetv2_xl,230.1,4450.229,1024,384,208.12 -efficientnetv2_l,229.66,2229.353,512,480,118.52 -tf_efficientnetv2_l,227.12,2254.285,512,480,118.52 -swin_base_patch4_window12_384,226.55,1129.989,256,384,87.9 -resnetrs420,221.54,4622.168,1024,320,191.89 -xcit_tiny_24_p8_384,221.02,4633.059,1024,384,12.11 -swinv2_large_window12to16_192to256,218.46,1171.845,256,256,196.74 -maxxvitv2_rmlp_base_rw_384,215.91,1778.483,384,384,116.09 -resmlp_big_24_224,214.64,4770.654,1024,224,129.14 -dm_nfnet_f3,212.56,4817.51,1024,320,254.92 -volo_d5_224,212.04,4829.237,1024,224,295.46 -xcit_medium_24_p8_224,210.19,4871.681,1024,224,84.32 -eca_nfnet_l3,204.36,2505.42,512,448,72.04 -xcit_small_12_p8_384,195.7,2616.244,512,384,26.21 -cait_xs24_384,193.54,3968.091,768,384,26.67 -focalnet_huge_fl3,190.44,2688.457,512,224,745.28 -maxvit_xlarge_tf_224,188.83,1355.724,256,224,506.99 -eva02_base_patch14_448,188.73,2712.897,512,448,87.12 -cait_xxs36_384,185.29,5526.544,1024,384,17.37 -swinv2_cr_base_384,184.6,1386.8,256,384,87.88 -resnetrs350,184.21,5558.812,1024,384,163.96 -swinv2_cr_huge_224,181.19,2119.355,384,224,657.83 -vit_huge_patch14_224,179.12,5716.862,1024,224,630.76 -vit_huge_patch14_clip_224,179.06,5718.877,1024,224,632.05 -volo_d2_384,177.33,2165.487,384,384,58.87 -maxvit_rmlp_base_rw_384,177.1,2168.259,384,384,116.14 -vit_base_patch14_dinov2,175.9,2910.678,512,518,86.58 -vit_huge_patch14_gap_224,175.13,5847.118,1024,224,630.76 -vit_base_patch14_reg4_dinov2,174.81,2928.893,512,518,86.58 -deit3_huge_patch14_224,172.54,5934.812,1024,224,632.13 -convmixer_1536_20,172.25,5944.68,1024,224,51.63 -vit_huge_patch14_clip_quickgelu_224,165.04,6204.441,1024,224,632.08 -maxvit_small_tf_512,163.97,585.468,96,512,69.13 -maxvit_base_tf_384,162.68,1180.208,192,384,119.65 -xcit_large_24_p16_384,161.93,6323.542,1024,384,189.1 -resnest269e,159.17,3216.598,512,416,110.93 -vit_huge_patch14_xp_224,159.07,6437.493,1024,224,631.8 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a/results/benchmark-infer-amp-nhwc-pt210-cu121-rtx3090.csv b/results/benchmark-infer-amp-nhwc-pt210-cu121-rtx3090.csv new file mode 100644 index 0000000000..de1fe6a71f --- /dev/null +++ b/results/benchmark-infer-amp-nhwc-pt210-cu121-rtx3090.csv @@ -0,0 +1,1205 @@ +model,infer_img_size,infer_batch_size,infer_samples_per_sec,infer_step_time,infer_gmacs,infer_macts,param_count +tinynet_e,106,1024.0,75290.96,13.591,0.03,0.69,2.04 +mobilenetv3_small_050,224,1024.0,56785.93,18.023,0.03,0.92,1.59 +efficientvit_m0,224,1024.0,50656.23,20.205,0.08,0.91,2.35 +lcnet_035,224,1024.0,48853.22,20.951,0.03,1.04,1.64 +lcnet_050,224,1024.0,42147.98,24.285,0.05,1.26,1.88 +mobilenetv3_small_075,224,1024.0,42002.46,24.369,0.05,1.3,2.04 +mobilenetv3_small_100,224,1024.0,38516.23,26.573,0.06,1.42,2.54 +tinynet_d,152,1024.0,37989.71,26.944,0.05,1.42,2.34 +efficientvit_m1,224,1024.0,37486.44,27.306,0.17,1.33,2.98 +tf_mobilenetv3_small_minimal_100,224,1024.0,33948.13,30.153,0.06,1.41,2.04 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