torch.compile (inductor)
SqueezeNet · width = 512 · height = 512 · batch_size = 64 · input_channels = 3 · fp32 · run 01a03f0e-f853…
●passedReported evidence
Not re-observed recently.
Primary measurement
21.0ms±0.07 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 21.6 · min ms 20.4 · std ms 0.378 · mean ms 21
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 512 · height = 512 · batch_size = 64 · input_channels = 3 · fp32
comparison keysha256:d17afcce2147c451…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level3/18_SqueezeNet.py
sha256:ab54d1113cea76ebb9082c6…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width512
height512
batch_size64
input_channels3
input_1fp32 [64, 3, 512, 512]
definition comparatornot_asserted
Measurements
latency · max21.6 ms · n=100
latency · mean21.0 ms · n=100
latency · min20.4 ms · n=100
latency · std378.0 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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{
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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": [
{
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"statistic": "std"
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},
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"metadata": {
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"comparability": {
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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 SqueezeNet →JSON