Experiment Results

Pixart - Batch Size: 1

dtype: fp16, qtype: fp8, qte: 1, fuse: 0	dtype: fp16, qtype: none, qte: 0, fuse: 0	dtype: fp16, qtype: none, qte: 0, fuse: 1
dtype: fp16, qtype: fp8, qte: 1, fuse: 1	dtype: bf16, qtype: int4, qte: 0, fuse: 1	dtype: bf16, qtype: none, qte: 0, fuse: 0
dtype: bf16, qtype: none, qte: 0, fuse: 1	dtype: bf16, qtype: int4, qte: 0, fuse: 0	dtype: fp16, qtype: int8, qte: 1, fuse: 0
dtype: fp16, qtype: int8, qte: 1, fuse: 1	dtype: bf16, qtype: fp8, qte: 1, fuse: 0	dtype: bf16, qtype: fp8, qte: 1, fuse: 1
dtype: bf16, qtype: int8, qte: 1, fuse: 0	dtype: bf16, qtype: int8, qte: 1, fuse: 1	dtype: bf16, qtype: int4, qte: 1, fuse: 1
dtype: bf16, qtype: none, qte: 1, fuse: 0	dtype: bf16, qtype: none, qte: 1, fuse: 1	dtype: bf16, qtype: int4, qte: 1, fuse: 0
dtype: fp16, qtype: none, qte: 1, fuse: 0	dtype: fp16, qtype: fp8, qte: 0, fuse: 0	dtype: fp16, qtype: fp8, qte: 0, fuse: 1
dtype: fp16, qtype: none, qte: 1, fuse: 1	dtype: bf16, qtype: fp8, qte: 0, fuse: 0	dtype: bf16, qtype: fp8, qte: 0, fuse: 1
dtype: bf16, qtype: int8, qte: 0, fuse: 0	dtype: bf16, qtype: int8, qte: 0, fuse: 1	dtype: fp16, qtype: int8, qte: 0, fuse: 0
dtype: fp16, qtype: int8, qte: 0, fuse: 1

Sorted by Memory Usage (Ascending)

Data Type	Quantization	Quantize TE	Fuse QKV	Memory (GB)	Latency (s)
bf16	INT4	Yes	No	3.066	7.493
bf16	INT4	Yes	Yes	3.176	7.512
fp16	INT8	Yes	No	5.363	1.526
bf16	INT8	Yes	No	5.364	1.429
fp16	FP8	Yes	No	5.364	1.587
bf16	FP8	Yes	No	5.365	1.475
bf16	FP8	Yes	Yes	5.537	1.450
bf16	INT8	Yes	Yes	5.537	1.403
fp16	INT8	Yes	Yes	5.537	1.471
fp16	FP8	Yes	Yes	5.537	1.518
bf16	INT4	No	No	9.380	7.320
bf16	INT4	No	Yes	9.491	7.340
bf16	FP8	No	No	9.672	1.434
bf16	INT8	No	No	9.672	1.400
bf16	INT8	No	Yes	9.847	1.375
bf16	FP8	No	Yes	9.847	1.397
bf16	NONE	Yes	No	10.214	1.151
bf16	NONE	No	No	10.214	1.152
bf16	NONE	No	Yes	10.560	1.142
bf16	NONE	Yes	Yes	10.560	1.142
fp16	INT8	No	No	11.547	1.494
fp16	FP8	No	No	11.547	1.520
fp16	INT8	No	Yes	11.722	1.439
fp16	FP8	No	Yes	11.722	1.472
fp16	NONE	Yes	No	12.086	1.181
fp16	NONE	No	No	12.086	1.182
fp16	NONE	No	Yes	12.433	1.172
fp16	NONE	Yes	Yes	12.435	1.170

Sorted by Latency (Ascending)

Data Type	Quantization	Quantize TE	Fuse QKV	Memory (GB)	Latency (s)
bf16	NONE	No	Yes	10.560	1.142
bf16	NONE	Yes	Yes	10.560	1.142
bf16	NONE	Yes	No	10.214	1.151
bf16	NONE	No	No	10.214	1.152
fp16	NONE	Yes	Yes	12.435	1.170
fp16	NONE	No	Yes	12.433	1.172
fp16	NONE	Yes	No	12.086	1.181
fp16	NONE	No	No	12.086	1.182
bf16	INT8	No	Yes	9.847	1.375
bf16	FP8	No	Yes	9.847	1.397
bf16	INT8	No	No	9.672	1.400
bf16	INT8	Yes	Yes	5.537	1.403
bf16	INT8	Yes	No	5.364	1.429
bf16	FP8	No	No	9.672	1.434
fp16	INT8	No	Yes	11.722	1.439
bf16	FP8	Yes	Yes	5.537	1.450
fp16	INT8	Yes	Yes	5.537	1.471
fp16	FP8	No	Yes	11.722	1.472
bf16	FP8	Yes	No	5.365	1.475
fp16	INT8	No	No	11.547	1.494
fp16	FP8	Yes	Yes	5.537	1.518
fp16	FP8	No	No	11.547	1.520
fp16	INT8	Yes	No	5.363	1.526
fp16	FP8	Yes	No	5.364	1.587
bf16	INT4	No	No	9.380	7.320
bf16	INT4	No	Yes	9.491	7.340
bf16	INT4	Yes	No	3.066	7.493
bf16	INT4	Yes	Yes	3.176	7.512

Flux-dev - Batch Size: 1

dtype: bf16, qtype: int4, qte: 0, fuse: 0	dtype: bf16, qtype: none, qte: 0, fuse: 0	dtype: bf16, qtype: fp8, qte: 0, fuse: 0
dtype: fp16, qtype: none, qte: 0, fuse: 0	dtype: fp16, qtype: fp8, qte: 0, fuse: 0	dtype: bf16, qtype: int8, qte: 1, fuse: 0
dtype: fp16, qtype: int8, qte: 1, fuse: 0	dtype: bf16, qtype: fp8, qte: 1, fuse: 0	dtype: fp16, qtype: none, qte: 1, fuse: 0
dtype: bf16, qtype: int4, qte: 1, fuse: 0	dtype: bf16, qtype: none, qte: 1, fuse: 0	dtype: fp16, qtype: int8, qte: 0, fuse: 0
dtype: fp16, qtype: fp8, qte: 1, fuse: 0	dtype: bf16, qtype: int8, qte: 0, fuse: 0

Sorted by Memory Usage (Ascending)

Data Type	Quantization	Quantize TE	Fuse QKV	Memory (GB)	Latency (s)
bf16	INT4	Yes	No	8.795	62.213
bf16	INT4	No	No	15.234	62.075
bf16	FP8	Yes	No	15.997	8.994
fp16	FP8	Yes	No	15.998	9.067
fp16	INT8	Yes	No	15.999	8.435
bf16	INT8	Yes	No	15.999	8.420
bf16	FP8	No	No	20.393	8.963
bf16	INT8	No	No	20.395	8.372
fp16	INT8	No	No	22.270	8.400
fp16	FP8	No	No	22.271	9.013
bf16	NONE	Yes	No	31.470	6.560
bf16	NONE	No	No	31.470	6.569
fp16	NONE	Yes	No	33.345	6.672
fp16	NONE	No	No	33.345	6.657

Sorted by Latency (Ascending)

Data Type	Quantization	Quantize TE	Fuse QKV	Memory (GB)	Latency (s)
bf16	NONE	Yes	No	31.470	6.560
bf16	NONE	No	No	31.470	6.569
fp16	NONE	No	No	33.345	6.657
fp16	NONE	Yes	No	33.345	6.672
bf16	INT8	No	No	20.395	8.372
fp16	INT8	No	No	22.270	8.400
bf16	INT8	Yes	No	15.999	8.420
fp16	INT8	Yes	No	15.999	8.435
bf16	FP8	No	No	20.393	8.963
bf16	FP8	Yes	No	15.997	8.994
fp16	FP8	No	No	22.271	9.013
fp16	FP8	Yes	No	15.998	9.067
bf16	INT4	No	No	15.234	62.075
bf16	INT4	Yes	No	8.795	62.213

Sd3 - Batch Size: 1

dtype: fp16, qtype: none, qte: 1, fuse: 0	dtype: fp16, qtype: none, qte: 1, fuse: 1	dtype: bf16, qtype: fp8, qte: 0, fuse: 0
dtype: bf16, qtype: fp8, qte: 0, fuse: 1	dtype: bf16, qtype: none, qte: 1, fuse: 0	dtype: bf16, qtype: none, qte: 1, fuse: 1
dtype: fp16, qtype: int8, qte: 0, fuse: 0	dtype: fp16, qtype: fp8, qte: 0, fuse: 0	dtype: fp16, qtype: fp8, qte: 0, fuse: 1
dtype: fp16, qtype: int8, qte: 0, fuse: 1	dtype: bf16, qtype: int8, qte: 0, fuse: 0	dtype: bf16, qtype: int8, qte: 0, fuse: 1
dtype: bf16, qtype: fp8, qte: 1, fuse: 0	dtype: bf16, qtype: fp8, qte: 1, fuse: 1	dtype: bf16, qtype: none, qte: 0, fuse: 0
dtype: bf16, qtype: none, qte: 0, fuse: 1	dtype: fp16, qtype: none, qte: 0, fuse: 0	dtype: fp16, qtype: none, qte: 0, fuse: 1
dtype: bf16, qtype: int8, qte: 1, fuse: 0	dtype: bf16, qtype: int8, qte: 1, fuse: 1	dtype: fp16, qtype: int8, qte: 1, fuse: 0
dtype: fp16, qtype: fp8, qte: 1, fuse: 0	dtype: fp16, qtype: fp8, qte: 1, fuse: 1	dtype: fp16, qtype: int8, qte: 1, fuse: 1

Sorted by Memory Usage (Ascending)

Data Type	Quantization	Quantize TE	Fuse QKV	Memory (GB)	Latency (s)
fp16	INT8	Yes	No	7.625	2.553
bf16	FP8	Yes	No	7.628	2.659
bf16	INT8	Yes	No	7.628	2.531
fp16	FP8	Yes	No	7.630	2.682
bf16	INT8	Yes	Yes	7.963	2.527
fp16	FP8	Yes	Yes	7.963	2.628
fp16	INT8	Yes	Yes	7.963	2.517
bf16	FP8	Yes	Yes	7.968	2.637
bf16	FP8	No	No	12.598	2.598
bf16	INT8	No	No	12.598	2.475
bf16	FP8	No	Yes	12.926	2.574
bf16	INT8	No	Yes	12.929	2.458
fp16	FP8	No	No	14.469	2.630
fp16	INT8	No	No	14.473	2.499
bf16	NONE	No	No	14.526	1.998
bf16	NONE	Yes	No	14.526	2.000
fp16	INT8	No	Yes	14.804	2.464
fp16	FP8	No	Yes	14.838	2.571
bf16	NONE	Yes	Yes	15.183	2.003
bf16	NONE	No	Yes	15.183	2.000
fp16	NONE	No	No	16.397	2.046
fp16	NONE	Yes	No	16.403	2.053
fp16	NONE	Yes	Yes	17.058	2.054
fp16	NONE	No	Yes	17.058	2.051

Sorted by Latency (Ascending)

Data Type	Quantization	Quantize TE	Fuse QKV	Memory (GB)	Latency (s)
bf16	NONE	No	No	14.526	1.998
bf16	NONE	No	Yes	15.183	2.000
bf16	NONE	Yes	No	14.526	2.000
bf16	NONE	Yes	Yes	15.183	2.003
fp16	NONE	No	No	16.397	2.046
fp16	NONE	No	Yes	17.058	2.051
fp16	NONE	Yes	No	16.403	2.053
fp16	NONE	Yes	Yes	17.058	2.054
bf16	INT8	No	Yes	12.929	2.458
fp16	INT8	No	Yes	14.804	2.464
bf16	INT8	No	No	12.598	2.475
fp16	INT8	No	No	14.473	2.499
fp16	INT8	Yes	Yes	7.963	2.517
bf16	INT8	Yes	Yes	7.963	2.527
bf16	INT8	Yes	No	7.628	2.531
fp16	INT8	Yes	No	7.625	2.553
fp16	FP8	No	Yes	14.838	2.571
bf16	FP8	No	Yes	12.926	2.574
bf16	FP8	No	No	12.598	2.598
fp16	FP8	Yes	Yes	7.963	2.628
fp16	FP8	No	No	14.469	2.630
bf16	FP8	Yes	Yes	7.968	2.637
bf16	FP8	Yes	No	7.628	2.659
fp16	FP8	Yes	No	7.630	2.682

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README.md

README.md

Experiment Results

Pixart - Batch Size: 1

Sorted by Memory Usage (Ascending)

Sorted by Latency (Ascending)

Flux-dev - Batch Size: 1

Sorted by Memory Usage (Ascending)

Sorted by Latency (Ascending)

Sd3 - Batch Size: 1

Sorted by Memory Usage (Ascending)

Sorted by Latency (Ascending)

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Experiment Results

Pixart - Batch Size: 1

Sorted by Memory Usage (Ascending)

Sorted by Latency (Ascending)

Flux-dev - Batch Size: 1

Sorted by Memory Usage (Ascending)

Sorted by Latency (Ascending)

Sd3 - Batch Size: 1

Sorted by Memory Usage (Ascending)

Sorted by Latency (Ascending)