PyTorch eager
conv standard 2D square input square kernel · batch_size = 256 · fp32 · run 01a03f0e-f833…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.97ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 3.01 · min ms 2.94 · std ms 0.0146 · mean ms 2.97
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadbatch_size = 256 · fp32
comparison keysha256:8865c88e9f6d71c8…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level1/50_conv_standard_2D__square_input__square_kernel.py
sha256:837c2d39b6927ee3a47a284…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size256
input_1fp32 [256, 3, 224, 224]
definition comparatornot_asserted
Measurements
latency · max3.01 ms · n=100
latency · mean2.97 ms · n=100
latency · min2.94 ms · n=100
latency · std14.6 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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"timing": {
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"latencyNs": {
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"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
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"metadata": {
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"comparability": {
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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 conv standard 2D square input square kernel →JSON