PyTorch eager
Matmul GroupNorm LeakyReLU Sum · batch_size = 1024 · input_size = 8192 · fp32 · run 01a03f0e-f83b…
●passedReported evidence
Not re-observed recently.
Primary measurement
5.16ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 5.19 · min ms 5.09 · std ms 0.0223 · mean ms 5.16
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadbatch_size = 1024 · input_size = 8192 · fp32
comparison keysha256:e7e8e4c3d724c999…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level2/62_Matmul_GroupNorm_LeakyReLU_Sum.py
sha256:5e1692d56ee0c221ab7b468…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size1024
input_size8192
input_1fp32 [1024, 8192]
definition comparatornot_asserted
Measurements
latency · max5.19 ms · n=100
latency · mean5.16 ms · n=100
latency · min5.09 ms · n=100
latency · std22.3 µs
Protocol
harnessKernelBench timing scripts
timercuda_events
primaryStatisticmean
comparabilityFamilykernelbench_baseline_timing
Environment
gpuNVIDIA H100 (sm_90)
Artifacts
No artifacts published with this run.
Replications and notes
No attestations yet.
Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
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Canonical manifest
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{
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}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for Matmul GroupNorm LeakyReLU Sum →JSON