torch.compile (inductor)
EfficientNetB0 · batch_size = 10 · fp32 · run 01a03f0e-f6ef…
●passedReported evidence
Not re-observed recently.
Primary measurement
3.21ms±0.02 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 3.81 · min ms 3.14 · std ms 0.0773 · mean ms 3.21
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadbatch_size = 10 · fp32
comparison keysha256:dbf21198233b7680…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level3/22_EfficientNetB0.py
sha256:a4edcd9edebaecd1b5ecb02…
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 · max3.81 ms · n=100
latency · mean3.21 ms · n=100
latency · min3.14 ms · n=100
latency · std77.3 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
Show manifestHide manifest
{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"samples": 100,
"latencyNs": {
"mean": 3210000,
"maximum": 3810000,
"minimum": 3140000,
"confidence95": [
3194849,
3225151
]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 77300,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
"source": "kernelbench",
"metrics": {
"max_ms": 3.81,
"min_ms": 3.14,
"std_ms": 0.0773,
"mean_ms": 3.21
},
"benchmark": "H100_Modal/baseline_time_torch_compile_inductor_default.json",
"externalId": "H100_Modal/torch-compile-inductor/level3/22_EfficientNetB0.py"
},
"protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
"workloadDigest": "sha256:59835fb1ee18c809cfb93f285bc25a114a8987618056ce9f551da32f5353dcb8",
"environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
"implementationDigest": "sha256:b2c13a16028cf16d3542d2071e4ba527b80ed5c9eb4a88a733ec35af80f64f51"
},
"metadata": {
"name": "kernelbench-h100-modal-torch-compile-inductor-l3-22-efficientnetb0",
"title": "EfficientNetB0 · 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": {
"hardware": {
"vendor": "nvidia",
"product": "NVIDIA H100",
"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)
Report an issue with this run
Published 2026-08-26 · KernelBench baseline timings · MITAll results for EfficientNetB0 →JSON