torch.compile (inductor)
Matmul Min Subtract · batch_size = 128 · in_features = 16384 · fp32 · run 01a03f0e-f6ea…
●passedReported evidence
Not re-observed recently.
Primary measurement
1.43ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 1.47 · min ms 1.42 · std ms 0.00848 · mean ms 1.43
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadbatch_size = 128 · in_features = 16384 · fp32
comparison keysha256:dfcb28052fc19ae0…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level2/68_Matmul_Min_Subtract.py
sha256:283d710114689169ba357a7…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size128
in_features16384
input_1fp32 [128, 16384]
definition comparatornot_asserted
Measurements
latency · max1.47 ms · n=100
latency · mean1.43 ms · n=100
latency · min1.42 ms · n=100
latency · std8.48 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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{
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"timing": {
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"latencyNs": {
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"observedAt": "2026-03-05T08:38:15.000Z",
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"metadata": {
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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 Matmul Min Subtract →JSON