torch.compile (inductor)
VGG19 · batch_size = 10 · fp32 · run 01a03f0e-f6ee…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.43ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 2.48 · min ms 2.41 · std ms 0.0107 · mean ms 2.43
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadbatch_size = 10 · fp32
comparison keysha256:6f86192fbad51b3f…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level3/12_VGG19.py
sha256:e29ab9f33dc1a135a993c78…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size10
input_1fp32 [10, 3, 224, 224]
definition comparatornot_asserted
Measurements
latency · max2.48 ms · n=100
latency · mean2.43 ms · n=100
latency · min2.41 ms · n=100
latency · std10.7 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": 2430000,
"maximum": 2480000,
"minimum": 2410000,
"confidence95": [
2427903,
2432097
]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 10700,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
"source": "kernelbench",
"metrics": {
"max_ms": 2.48,
"min_ms": 2.41,
"std_ms": 0.0107,
"mean_ms": 2.43
},
"benchmark": "H100_Modal/baseline_time_torch_compile_inductor_default.json",
"externalId": "H100_Modal/torch-compile-inductor/level3/12_VGG19.py"
},
"protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
"workloadDigest": "sha256:8dffc5286f834ddb628790752c31faacacdb25bf9a49bcaaad0c6975520a140b",
"environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
"implementationDigest": "sha256:27ed6f8a68d6660a86ffde6b9d731a479a5039fc560a0d57c175ffccfe6107f4"
},
"metadata": {
"name": "kernelbench-h100-modal-torch-compile-inductor-l3-12-vgg19",
"title": "VGG19 · torch.compile (inductor) · Modal"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
"harness": {
"name": "KernelBench timing scripts",
"repository": "https://github.com/ScalingIntelligence/KernelBench"
},
"measurement": {
"timer": "cuda_events",
"primaryStatistic": "mean"
},
"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": {
"name": "kernelbench-timing-v1",
"title": "KernelBench baseline timing"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"environment": {
"kind": "ExecutionEnvironment",
"spec": {
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"formFactor": "80GB HBM3",
"architecture": "sm_90"
},
"software": {}
},
"metadata": {
"name": "kernelbench-h100-modal",
"title": "KernelBench host · H100 80GB HBM3 (Modal)"
},
"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 VGG19 →JSON