torch.compile (inductor)
4D tensor matrix multiplication · b = 8 · i = 256 · j = 512 · k = 768 · l = 256 · fp32 · run 01a03f0e-f843…
●passedReported evidence
Not re-observed recently.
Primary measurement
13.1ms±0.11 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 13.7 · min ms 11.2 · std ms 0.539 · mean ms 13.1
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadb = 8 · i = 256 · j = 512 · k = 768 · l = 256 · fp32
comparison keysha256:03b81849e1401a04…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/11_4D_tensor_matrix_multiplication.py
sha256:4772fa62a095b54ca0da645…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
b8
i256
j512
k768
l256
afp32 [8, 256, 512, 256]
bfp32 [256, 768]
definition comparatornot_asserted
Measurements
latency · max13.7 ms · n=100
latency · mean13.1 ms · n=100
latency · min11.2 ms · n=100
latency · std539.0 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": {
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"timing": {
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"latencyNs": {
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},
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},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
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"metric": "latency",
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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 4D tensor matrix multiplication →JSON