torch.compile (inductor)
ShuffleNet · width = 224 · height = 224 · batch_size = 10 · input_channels = 3 · fp32 · run 01a03f0e-f853…
●passedReported evidence
Not re-observed recently.
Primary measurement
13.5ms±0.01 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 13.7 · min ms 13.3 · std ms 0.0613 · mean ms 13.5
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 224 · height = 224 · batch_size = 10 · input_channels = 3 · fp32
comparison keysha256:3dfb9714892f4eaf…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level3/26_ShuffleNet.py
sha256:375d3e133b9677754bff968…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width224
height224
batch_size10
input_channels3
input_1fp32 [10, 3, 224, 224]
definition comparatornot_asserted
Measurements
latency · max13.7 ms · n=100
latency · mean13.5 ms · n=100
latency · min13.3 ms · n=100
latency · std61.3 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": 13500000,
"maximum": 13700000,
"minimum": 13300000,
"confidence95": [
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 61300,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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"metrics": {
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},
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"environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
"implementationDigest": "sha256:d4010d69fbdbbf5c54df987e04334874f69a97aea5298625719f9afa3d6168ef"
},
"metadata": {
"name": "kernelbench-h100-pcie-lambdalabs-torch-compile-inductor-l3-26-shufflenet",
"title": "ShuffleNet · torch.compile (inductor) · Lambda Labs"
},
"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 PCIe (Lambda Labs)"
},
"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 ShuffleNet →JSON