PyTorch eager
Matrix scalar multiplication · m = 65536 · n = 16384 · fp32 · run 01a03f0e-f6f2…
●passedReported evidence
Not re-observed recently.
Primary measurement
4.64ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 4.7 · min ms 4.63 · std ms 0.00766 · mean ms 4.64
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadm = 65536 · n = 16384 · fp32
comparison keysha256:241421c192f6a30e…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level1/5_Matrix_scalar_multiplication.py
sha256:71a3a0bd964283e3c2b46df…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
m65536
n16384
afp32 [65536, 16384]
definition comparatornot_asserted
Measurements
latency · max4.70 ms · n=100
latency · mean4.64 ms · n=100
latency · min4.63 ms · n=100
latency · std7.66 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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"spec": {
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"timing": {
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"latencyNs": {
"mean": 4640000,
"maximum": 4700000,
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"confidence95": [
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 7660,
"metric": "latency",
"statistic": "std"
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"metadata": {
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},
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"comparability": {
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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 Matrix scalar multiplication →JSON