torch.compile (inductor)
SwinMLP · batch_size = 10 · image_size = 224 · fp32 · run 01a03f0e-f854…
●passedReported evidence
Not re-observed recently.
Primary measurement
4.18ms±0.01 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 4.24 · min ms 4.1 · std ms 0.033 · mean ms 4.18
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadbatch_size = 10 · image_size = 224 · fp32
comparison keysha256:4c9c011b7e816cc5…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level3/29_SwinMLP.py
sha256:949ad58b91508eadd9f26f9…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size10
image_size224
input_1fp32 [10, 3, 224, 224]
definition comparatornot_asserted
Measurements
latency · max4.24 ms · n=100
latency · mean4.18 ms · n=100
latency · min4.10 ms · n=100
latency · std33.0 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": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"samples": 100,
"latencyNs": {
"mean": 4180000,
"maximum": 4240000,
"minimum": 4100000,
"confidence95": [
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 33000,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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"metrics": {
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"min_ms": 4.1,
"std_ms": 0.033,
"mean_ms": 4.18
},
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"externalId": "H100_PCIe_LambdaLabs/torch-compile-inductor/level3/29_SwinMLP.py"
},
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"workloadDigest": "sha256:5298f422eb6d0192762ce923204010a875609e295852106fed15f838460d407f",
"environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
"implementationDigest": "sha256:8b23a3e9ec5410f519138c0e9da493c7bf59dec9a4da38c4c7ff60d807b7df06"
},
"metadata": {
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"title": "SwinMLP · 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 SwinMLP →JSON