torch.compile (inductor)
conv standard 3D square input asymmetric kernel · depth = 64 · width = 64 · height = 64 · batch_size = 16 · in_channels = 3 · fp32 · run 01a03f0e-f6e1…
●passedReported evidence
Not re-observed recently.
Primary measurement
7.71ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 7.76 · min ms 7.66 · std ms 0.0184 · mean ms 7.71
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth = 64 · width = 64 · height = 64 · batch_size = 16 · in_channels = 3 · fp32
comparison keysha256:c94b328d782f68d5…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/60_conv_standard_3D__square_input__asymmetric_kernel.py
sha256:30c4389aaee9dc24b2fd473…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
depth64
width64
height64
batch_size16
in_channels3
xfp32 [16, 3, 64, 64, 64]
definition comparatornot_asserted
Measurements
latency · max7.76 ms · n=100
latency · mean7.71 ms · n=100
latency · min7.66 ms · n=100
latency · std18.4 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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}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for conv standard 3D square input asymmetric kernel →JSON