PyTorch eager
DeepNarrowMLP · batch_size = 1024 · input_size = 8192 · fp32 · run 01a03f0e-f83f…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.78ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 2.8 · min ms 2.77 · std ms 0.00738 · mean ms 2.78
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadbatch_size = 1024 · input_size = 8192 · fp32
comparison keysha256:43a732a6cb43fbf1…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level3/3_DeepNarrowMLP.py
sha256:a7ac5e36596e54c67694249…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size1024
input_size8192
input_1fp32 [1024, 8192]
definition comparatornot_asserted
Measurements
latency · max2.80 ms · n=100
latency · mean2.78 ms · n=100
latency · min2.77 ms · n=100
latency · std7.38 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": 2780000,
"maximum": 2800000,
"minimum": 2770000,
"confidence95": [
2778554,
2781446
]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 7380,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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"metrics": {
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"mean_ms": 2.78
},
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"externalId": "H100_PCIe_LambdaLabs/torch/level3/3_DeepNarrowMLP.py"
},
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"environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
"implementationDigest": "sha256:71094c4ecf22cd77164331db2f273cb167ee7e41a743fc37dee7861d4dc568c7"
},
"metadata": {
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},
"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"
}
},
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},
"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 DeepNarrowMLP →JSON