PyTorch eager
Conv2d AvgPool Sigmoid Sum · width = 384 · height = 384 · batch_size = 128 · in_channels = 8 · fp32 · run 01a03f0e-f83c…
●passedReported evidence
Not re-observed recently.
Primary measurement
18.2ms±0.10 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 19 · min ms 17.6 · std ms 0.487 · mean ms 18.2
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth = 384 · height = 384 · batch_size = 128 · in_channels = 8 · fp32
comparison keysha256:283c4dea848e8e9e…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level2/65_Conv2d_AvgPool_Sigmoid_Sum.py
sha256:141f07d6aa67b1830352ee7…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width384
height384
batch_size128
in_channels8
input_1fp32 [128, 8, 384, 384]
definition comparatornot_asserted
Measurements
latency · max19.0 ms · n=100
latency · mean18.2 ms · n=100
latency · min17.6 ms · n=100
latency · std487.0 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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"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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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 Conv2d AvgPool Sigmoid Sum →JSON