Request: support add perf testing of matrix multiply "accelerator units" in benchmark..

Hi,
seems after dot product (int8) support next "hot" feature could add is "matrix multiply accelerator" perf testing support..
aka tensor cores on nvidia etc...
searching on opencl.gpuinfo.org I see ARM and Intel extensions (not Nvidia nor AMD nor Qualcomm which is sad to see):
*cl_arm_matrix_multiply 0.4%
*cl_intel_subgroup_matrix_multiply_accumulate 2.2%
*cl_intel_subgroup_matrix_multiply_accumulate_tf32 0.5%
*cl_intel_subgroup_split_matrix_multiply_accumulate 1.6%

of intel the one to test seems "cl_intel_subgroup_matrix_multiply_accumulate" (as tf32 is the tensorfloat32 variant) supported on Intel ARC on Windows and Linux and also..

the ARM one is only supported on Pixel products which is sad:
https://opencl.gpuinfo.org/listreports.php?extension=cl_arm_matrix_multiply
more sad is that no ext seems published altough seems to be supported in ARM Compute library which is open source I think so maybe there is code to learn from..:
https://android.googlesource.com/platform/external/ComputeLibrary/+/refs/heads/android14-qpr1-s2-release%5E1..refs/heads/android14-qpr1-s2-release/

so in brief.. do you plan on investigating adding a cross vendor "matrix multiply accelerator units" test at least for Intel and ARM GPUs..

NOTE: vkpeak does the same with equivalent cooperative matrix ext, but there HW support is broader (AMD,NV,Intel, etc..)

thanks..

Start by locating the existing int8 dot-product benchmark and the project’s OpenCL extension handling. Review the referenced ARM and Intel matrix-multiply extensions and compare their availability across vendors. Done means the benchmark has a documented cross-vendor matrix-multiply accelerator performance test, with results that can be run on supported hardware.