torch.compile (inductor)
Conv3d Multiply InstanceNorm Clamp Multiply Max · depth = 16 · width = 32 · height = 32 · batch_size = 128 · in_channels = 3 · fp32 · run 01a03f0e-f850…
●passedReported evidence
Not re-observed recently.
Primary measurement
985.0µs±0.92 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 0.999 · min ms 0.977 · std ms 0.00471 · mean ms 0.985
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth = 16 · width = 32 · height = 32 · batch_size = 128 · in_channels = 3 · fp32
comparison keysha256:7874426b0fc1b79f…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level2/79_Conv3d_Multiply_InstanceNorm_Clamp_Multiply_Max.py
sha256:5add334e1b175f06e7b1480…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
depth16
width32
height32
batch_size128
in_channels3
input_1fp32 [128, 3, 16, 32, 32]
definition comparatornot_asserted
Measurements
latency · max999.0 µs · n=100
latency · mean985.0 µs · n=100
latency · min977.0 µs · n=100
latency · std4.71 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",
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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 Conv3d Multiply InstanceNorm Clamp Multiply Max →JSON