PyTorch eager
Conv3d GroupNorm Mean · d = 24 · h = 32 · w = 32 · batch_size = 128 · in_channels = 3 · fp32 · run 01a03f0e-f838…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.23ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 2.24 · min ms 2.23 · std ms 0.00244 · mean ms 2.23
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadd = 24 · h = 32 · w = 32 · batch_size = 128 · in_channels = 3 · fp32
comparison keysha256:2ad65e67ce6498e2…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level2/23_Conv3d_GroupNorm_Mean.py
sha256:f6790bc7f96d32714ede272…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
d24
h32
w32
batch_size128
in_channels3
input_1fp32 [128, 3, 24, 32, 32]
definition comparatornot_asserted
Measurements
latency · max2.24 ms · n=100
latency · mean2.23 ms · n=100
latency · min2.23 ms · n=100
latency · std2.44 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.
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Canonical manifest
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{
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"timing": {
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"latencyNs": {
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"confidence95": [
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},
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},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
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"value": 2440,
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"statistic": "std"
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},
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"metadata": {
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"title": "Conv3d GroupNorm Mean · PyTorch eager · Lambda Labs"
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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 Conv3d GroupNorm Mean →JSON