PyTorch eager
UNetSoftmax · width = 512 · height = 64 · batch_size = 8 · in_channels = 8 · fp32 · run 01a03f0e-f842…
●passedReported evidence
Not re-observed recently.
Primary measurement
7.13ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 7.18 · min ms 7.08 · std ms 0.0207 · mean ms 7.13
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth = 512 · height = 64 · batch_size = 8 · in_channels = 8 · fp32
comparison keysha256:cf7ad1de1b508e0f…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level3/45_UNetSoftmax.py
sha256:055a786607361b569aa5611…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width512
height64
batch_size8
in_channels8
input_1fp32 [8, 8, 64, 512]
definition comparatornot_asserted
Measurements
latency · max7.18 ms · n=100
latency · mean7.13 ms · n=100
latency · min7.08 ms · n=100
latency · std20.7 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": {
"status": "passed",
"timing": {
"samples": 100,
"latencyNs": {
"mean": 7130000,
"maximum": 7180000,
"minimum": 7080000,
"confidence95": [
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 20700,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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"metrics": {
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"std_ms": 0.0207,
"mean_ms": 7.13
},
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"environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
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"metadata": {
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"title": "UNetSoftmax · 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": {
"notes": "Mean of 100 timed forward passes (CUDA events, warm-up excluded) of the reference module on fixed inputs; the 95% interval is the mean's, from the reported standard deviation. The upstream JSON records no torch or CUDA version. Comparable only within one problem and one timing host.",
"family": "kernelbench_baseline_timing"
}
},
"metadata": {
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"title": "KernelBench host · H100 PCIe (Lambda Labs)"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for UNetSoftmax →JSON