PyTorch eager
Gemm BatchNorm GELU ReLU · batch_size = 16384 · in_features = 4096 · fp32 · run 01a03f0e-f6d4…
●passedReported evidence
Not re-observed recently.
Primary measurement
11.5ms±0.03 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 12.1 · min ms 11.4 · std ms 0.152 · mean ms 11.5
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadbatch_size = 16384 · in_features = 4096 · fp32
comparison keysha256:4c1178a4e0c6b77a…
sourceKernelBench baseline timings
external idH100_Modal/torch/level2/41_Gemm_BatchNorm_GELU_ReLU.py
sha256:c2fd5166a379897e005bc27…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size16384
in_features4096
input_1fp32 [16384, 4096]
definition comparatornot_asserted
Measurements
latency · max12.1 ms · n=100
latency · mean11.5 ms · n=100
latency · min11.4 ms · n=100
latency · std152.0 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.
Add a reproduction or note
Canonical manifest
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{
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"spec": {
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"timing": {
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"latencyNs": {
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]
},
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},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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"metadata": {
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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 Gemm BatchNorm GELU ReLU →JSON