PyTorch eager
Average Pooling 3D · depth = 128 · width = 256 · height = 128 · channels = 32 · batch_size = 16 · fp32 · run 01a03f0e-f833…
●passedReported evidence
Not re-observed recently.
Primary measurement
11.3ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 11.4 · min ms 11.3 · std ms 0.00236 · mean ms 11.3
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloaddepth = 128 · width = 256 · height = 128 · channels = 32 · batch_size = 16 · fp32
comparison keysha256:72de56432ac6d21f…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level1/46_Average_Pooling_3D.py
sha256:ced72de5880678d78cf5736…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
depth128
width256
height128
channels32
batch_size16
xfp32 [16, 32, 128, 128, 256]
definition comparatornot_asserted
Measurements
latency · max11.4 ms · n=100
latency · mean11.3 ms · n=100
latency · min11.3 ms · n=100
latency · std2.36 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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{
"run": {
"kind": "BenchmarkRun",
"spec": {
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"timing": {
"samples": 100,
"latencyNs": {
"mean": 11300000,
"maximum": 11400000,
"minimum": 11300000,
"confidence95": [
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11300463
]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 2360,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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},
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},
"metadata": {
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"title": "Average Pooling 3D · PyTorch eager · Lambda Labs"
},
"apiVersion": "kernelindex.dev/v1alpha1"
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"protocol": {
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"spec": {
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},
"measurement": {
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},
"comparability": {
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},
"metadata": {
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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 Average Pooling 3D →JSON