torch.compile (inductor)
Square matrix multiplication · n = 4096 · fp32 · run 01a03f0e-f6dd…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.67ms±0.01 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 3.18 · min ms 2.66 · std ms 0.0519 · mean ms 2.67
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadn = 4096 · fp32
comparison keysha256:20119bd0b90bea78…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/1_Square_matrix_multiplication_.py
sha256:f5d8a0d33e6fcdc55106b1f…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
n4096
afp32 [4096, 4096]
bfp32 [4096, 4096]
definition comparatornot_asserted
Measurements
latency · max3.18 ms · n=100
latency · mean2.67 ms · n=100
latency · min2.66 ms · n=100
latency · std51.9 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": 2670000,
"maximum": 3180000,
"minimum": 2660000,
"confidence95": [
2660000,
2680172
]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 51900,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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"metrics": {
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"mean_ms": 2.67
},
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"externalId": "H100_Modal/torch-compile-inductor/level1/1_Square_matrix_multiplication_.py"
},
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"workloadDigest": "sha256:3400021db8b3e464c730b7983702a72020986ae8393f731bec3853e61ac92d54",
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"implementationDigest": "sha256:ba769791f3451897017c41e4d95beeda0983b65671838e0f31bbaf238e984829"
},
"metadata": {
"name": "kernelbench-h100-modal-torch-compile-inductor-l1-1-square-matrix-multiplication",
"title": "Square matrix multiplication · torch.compile (inductor) · Modal"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"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 80GB HBM3 (Modal)"
},
"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 Square matrix multiplication →JSON