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[Bench] Bump Compute Benchmark version for nightly benchmarking #21421

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Merged
sarnex merged 1 commit into from
Mar 3, 2026
Merged

[Bench] Bump Compute Benchmark version for nightly benchmarking #21421

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130 changes: 68 additions & 62 deletions devops/scripts/benchmarks/benches/compute/compute.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,8 +40,8 @@ def git_url(self) -> str:
return "https://github.com/intel/compute-benchmarks.git"

def git_hash(self) -> str:
# Feb 20, 2026
return "27a3133d298a95af35e69173b06f6030ae33d742"
# Mar 03, 2026
return "48504d2957a83ad32deff78563e855eeb6855dae"

def setup(self) -> None:
if options.sycl is None:
Expand Down Expand Up @@ -319,50 +319,51 @@ def createTorchSingleQueueBench(variant_name: str, **kwargs):
profiler_type,
**{
**kwargs,
"kernelBatchSize": 512,
"kernelName": "Add",
"kernelParamsNum": 5,
"kernelSubmitPattern": "Single",
"KernelBatchSize": 512,
"KernelName": "Add",
"KernelParamsNum": 5,
"KernelSubmitPattern": "Single",
"Profiling": 0,
"UseEvents": 0,
},
)

benches += [
createTorchSingleQueueBench(
"Int32Large",
kernelDataType="Int32",
kernelWGCount=4096,
kernelWGSize=512,
KernelDataType="Int32",
KernelWGCount=4096,
KernelWGSize=512,
),
createTorchSingleQueueBench(
"Int32Medium",
kernelDataType="Int32",
kernelWGCount=512,
kernelWGSize=256,
KernelDataType="Int32",
KernelWGCount=512,
KernelWGSize=256,
),
createTorchSingleQueueBench(
"Int32Small",
kernelDataType="Int32",
kernelWGCount=256,
kernelWGSize=128,
KernelDataType="Int32",
KernelWGCount=256,
KernelWGSize=128,
),
createTorchSingleQueueBench(
"MixedLarge",
kernelDataType="Mixed",
kernelWGCount=4096,
kernelWGSize=512,
KernelDataType="Mixed",
KernelWGCount=4096,
KernelWGSize=512,
),
createTorchSingleQueueBench(
"MixedMedium",
kernelDataType="Mixed",
kernelWGCount=512,
kernelWGSize=256,
KernelDataType="Mixed",
KernelWGCount=512,
KernelWGSize=256,
),
createTorchSingleQueueBench(
"MixedSmall",
kernelDataType="Mixed",
kernelWGCount=256,
kernelWGSize=128,
KernelDataType="Mixed",
KernelWGCount=256,
KernelWGSize=128,
),
]

Expand All @@ -379,26 +380,26 @@ def createTorchMultiQueueBench(variant_name: str, **kwargs):
measure_completion,
**{
**kwargs,
"kernelWGCount": 512,
"kernelWGSize": 256,
"useProfiling": 0,
"measureCompletion": measure_completion,
"KernelWGCount": 512,
"KernelWGSize": 256,
"MeasureCompletionTime": measure_completion,
"Profiling": 0,
"UseEvents": 0,
},
)

benches += [
createTorchMultiQueueBench(
"large",
kernelsPerQueue=20,
KernelsPerQueue=20,
),
createTorchMultiQueueBench(
"medium",
kernelsPerQueue=10,
KernelsPerQueue=10,
),
createTorchMultiQueueBench(
"small",
kernelsPerQueue=4,
KernelsPerQueue=4,
),
]

Expand All @@ -415,24 +416,24 @@ def createTorchSlmSizeBench(variant_name: str, **kwargs):
measure_completion,
**{
**kwargs,
"kernelBatchSize": 512,
"measureCompletion": measure_completion,
"useProfiling": 0,
"KernelBatchSize": 512,
"MeasureCompletionTime": measure_completion,
"Profiling": 0,
},
)

benches += [
createTorchSlmSizeBench(
"small",
slmNum=1,
SlmNum=1,
),
createTorchSlmSizeBench(
"medium",
slmNum=1024,
SlmNum=1024,
),
createTorchSlmSizeBench(
"large",
slmNum=16384,
SlmNum=16384,
),
]

Expand All @@ -452,27 +453,31 @@ def createTorchMemoryReuseBench(variant_name: str, **kwargs):
benches += [
createTorchMemoryReuseBench(
"Int32Large",
kernelBatchSize=4096,
kernelDataType="Int32",
KernelBatchSize=4096,
KernelDataType="Int32",
UseEvents=0,
Profiling=0,
),
createTorchMemoryReuseBench(
"Int32Medium",
kernelBatchSize=512,
kernelDataType="Int32",
KernelBatchSize=512,
KernelDataType="Int32",
UseEvents=0,
Profiling=0,
),
createTorchMemoryReuseBench(
"FloatLarge",
kernelBatchSize=4096,
kernelDataType="Float",
KernelBatchSize=4096,
KernelDataType="Float",
UseEvents=0,
Profiling=0,
),
createTorchMemoryReuseBench(
"FloatMedium",
kernelBatchSize=512,
kernelDataType="Float",
KernelBatchSize=512,
KernelDataType="Float",
UseEvents=0,
Profiling=0,
),
]

Expand All @@ -488,30 +493,31 @@ def createTorchLinearKernelSizeBench(variant_name: str, **kwargs):
profiler_type,
**{
**kwargs,
"kernelBatchSize": 512,
"KernelBatchSize": 512,
"Profiling": 0,
},
)

benches += [
createTorchLinearKernelSizeBench(
"array32",
kernelSize=32,
KernelSize=32,
),
createTorchLinearKernelSizeBench(
"array128",
kernelSize=128,
KernelSize=128,
),
createTorchLinearKernelSizeBench(
"array512",
kernelSize=512,
KernelSize=512,
),
createTorchLinearKernelSizeBench(
"array1024",
kernelSize=1024,
KernelSize=1024,
),
createTorchLinearKernelSizeBench(
"array5120",
kernelSize=5120,
KernelSize=5120,
),
]

Expand All @@ -532,29 +538,29 @@ def createTorchGraphSingleQueueBench(variant_name: str, **kwargs):
profiler_type,
**{
**kwargs,
"kernelName": kernel_name.value,
"kernelWGCount": 512,
"kernelWGSize": 256,
"useProfiling": 0,
"KernelName": kernel_name.value,
"KernelWGCount": 512,
"KernelWGSize": 256,
"Profiling": 0,
"UseEvents": 0,
},
)

benches += [
createTorchGraphSingleQueueBench(
"small",
kernelGroupsCount=10,
kernelBatchSize=10,
KernelsPerQueue=10,
KernelBatchSize=10,
),
createTorchGraphSingleQueueBench(
"medium",
kernelGroupsCount=32,
kernelBatchSize=32,
KernelsPerQueue=32,
KernelBatchSize=32,
),
createTorchGraphSingleQueueBench(
"large",
kernelGroupsCount=64,
kernelBatchSize=64,
KernelsPerQueue=64,
KernelBatchSize=64,
),
]

Expand Down Expand Up @@ -1229,7 +1235,7 @@ def __init__(
)

def name(self):
return f"graph_api_benchmark_{self._runtime.value} SubmitGraph{self._native_str}{self._use_events_str}{self._host_tasks_str} numKernels:{self._num_kernels} ioq {self._in_order_queue} measureCompletion {self._measure_completion_time}{self._cpu_count_str()}"
return f"graph_api_benchmark_{self._runtime.value} SubmitGraph{self._native_str}{self._use_events_str}{self._host_tasks_str} numKernels:{self._num_kernels} ioq {self._in_order_queue} MeasureCompletionTime {self._measure_completion_time}{self._cpu_count_str()}"

def display_name(self) -> str:
return f"{self._runtime.value.upper()} SubmitGraph{self._native_str} {self._ioq_str}{self._measure_str}{self._use_events_str}{self._host_tasks_str}, {self._num_kernels} kernels{self._cpu_count_str(separator=',')}"
Expand Down
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