diff --git a/csrc/gpu/aten/core/DeviceInfo.h b/csrc/gpu/aten/core/DeviceInfo.h
index aa13b5f50..2bd0a4b01 100644
--- a/csrc/gpu/aten/core/DeviceInfo.h
+++ b/csrc/gpu/aten/core/DeviceInfo.h
@@ -35,6 +35,9 @@ struct DeviceInfo {
   std::vector<size_t> sub_group_sizes;
   bool support_fp64;
   bool support_cl_bf16_conversion;
+  bool support_cl_sg_matmul_acc;
+  bool support_cl_sg_matmul_acc_tf32;
+  bool support_cl_sg_2d_block_io;
 };
 
 } // namespace dpcpp
diff --git a/csrc/gpu/runtime/Device.cpp b/csrc/gpu/runtime/Device.cpp
index ce89de451..fcf679453 100644
--- a/csrc/gpu/runtime/Device.cpp
+++ b/csrc/gpu/runtime/Device.cpp
@@ -322,8 +322,11 @@ static void initDeviceProperty(DeviceId device_id) {
       : 8;
   device_prop.support_atomic64 = device.has(dpcpp_dev_aspect_atomic64);
   device_prop.support_fp64 = device.has(dpcpp_dev_aspect_fp64);
-  sycl::ext::oneapi::experimental::cl_version version{20, 20, 20};
+  sycl::ext::oneapi::experimental::cl_version version;
   device_prop.support_cl_bf16_conversion = device.ext_oneapi_supports_cl_extension("cl_intel_bfloat16_conversions", &version);
+  device_prop.support_cl_sg_matmul_acc = device.ext_oneapi_supports_cl_extension("cl_intel_subgroup_matrix_multiply_accumulate", &version);
+  device_prop.support_cl_sg_matmul_acc_tf32 = device.ext_oneapi_supports_cl_extension("cl_intel_subgroup_matrix_multiply_accumulate_tensor_float32", &version);
+  device_prop.support_cl_sg_2d_block_io = device.ext_oneapi_supports_cl_extension("cl_intel_subgroup_2d_block_io", &version);
 
   device_properties[device_id] = device_prop;
 
@@ -358,9 +361,12 @@ static void initDeviceProperty(DeviceId device_id) {
   dev_info.max_num_sub_groups = device_prop.max_num_subgroup;
   dev_info.sub_group_sizes = device_prop.subgroup_sizes;
   dev_info.support_fp64 = device_prop.support_fp64;
+  dev_info.support_cl_bf16_conversion = device_prop.support_cl_bf16_conversion;
+  dev_info.support_cl_sg_matmul_acc = device_prop.support_cl_sg_matmul_acc;
+  dev_info.support_cl_sg_matmul_acc_tf32 = device_prop.support_cl_sg_matmul_acc_tf32;
+  dev_info.support_cl_sg_2d_block_io = device_prop.support_cl_sg_2d_block_io;
 #if (defined(__INTEL_LLVM_COMPILER) && __INTEL_LLVM_COMPILER >= 20240100)
   dev_info.device_arch = static_cast<uint64_t>(device_prop.device_arch);
-  dev_info.support_cl_bf16_conversion = device_prop.support_cl_bf16_conversion;
 #else
   dev_info.device_arch = (uint64_t)0;
 #endif
diff --git a/csrc/gpu/runtime/DeviceProp.h b/csrc/gpu/runtime/DeviceProp.h
index f2af1843d..b4bd5ce70 100644
--- a/csrc/gpu/runtime/DeviceProp.h
+++ b/csrc/gpu/runtime/DeviceProp.h
@@ -144,6 +144,9 @@ struct DeviceProp {
   bool support_fp64;
   bool support_atomic64;
   bool support_cl_bf16_conversion;
+  bool support_cl_sg_matmul_acc;
+  bool support_cl_sg_matmul_acc_tf32;
+  bool support_cl_sg_2d_block_io;
 };
 
 } // namespace dpcpp
diff --git a/intel_extension_for_pytorch/csrc/xpu/Module.cpp b/intel_extension_for_pytorch/csrc/xpu/Module.cpp
index 34bc3117e..fb0a96a3f 100644
--- a/intel_extension_for_pytorch/csrc/xpu/Module.cpp
+++ b/intel_extension_for_pytorch/csrc/xpu/Module.cpp
@@ -578,6 +578,9 @@ static void register_xpu_device_info(PyObject* module) {
       .def_readonly("sub_group_sizes", &DeviceInfo::sub_group_sizes)
       .def_readonly("has_fp64", &DeviceInfo::support_fp64)
       .def_readonly("support_cl_bf16_conversion", &DeviceInfo::support_cl_bf16_conversion)
+      .def_readonly("support_cl_sg_matmul_acc", &DeviceInfo::support_cl_sg_matmul_acc)
+      .def_readonly("support_cl_sg_matmul_acc_tf32", &DeviceInfo::support_cl_sg_matmul_acc_tf32)
+      .def_readonly("support_cl_sg_2d_block_io", &DeviceInfo::support_cl_sg_2d_block_io)
       .def_readonly("device_arch", &DeviceInfo::device_arch)
       .def_property_readonly(
           "dev_type", [](const DeviceInfo& info) { return get_dev_type(info); })
@@ -591,7 +594,11 @@ static void register_xpu_device_info(PyObject* module) {
                << "MB, max_compute_units=" << info.max_compute_units
                << ", gpu_eu_count=" << info.gpu_eu_count
                << ", device_arch=" << info.device_arch 
-               << ", support_cl_bf16_conversion=" << info.support_cl_bf16_conversion << ")";
+               << ", support_cl_bf16_conversion=" << info.support_cl_bf16_conversion
+               << ", support_cl_sg_matmul_acc=" << info.support_cl_sg_matmul_acc
+               << ", support_cl_sg_matmul_acc_tf32=" << info.support_cl_sg_matmul_acc_tf32
+               << ", support_cl_sg_2d_block_io=" << info.support_cl_sg_2d_block_io
+               << ")";
         return stream.str();
       });
 }