PyTorch eager
Swish · dim = 393216 · batch_size = 4096 · fp32 · run 01a03f0e-f6cb…
●passedReported evidence
Not re-observed recently.
Primary measurement
10.5ms±0.01 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 10.7 · min ms 10.5 · std ms 0.0767 · mean ms 10.5
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloaddim = 393216 · batch_size = 4096 · fp32
comparison keysha256:9c1f66f24347679f…
sourceKernelBench baseline timings
external idH100_Modal/torch/level1/25_Swish.py
sha256:8c2d6a1ac421486a53d6a05…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
dim393216
batch_size4096
xfp32 [4096, 393216]
definition comparatornot_asserted
Measurements
latency · max10.7 ms · n=100
latency · mean10.5 ms · n=100
latency · min10.5 ms · n=100
latency · std76.7 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": 10500000,
"maximum": 10700000,
"minimum": 10500000,
"confidence95": [
10500000,
10515033
]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 76700,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
"source": "kernelbench",
"metrics": {
"max_ms": 10.7,
"min_ms": 10.5,
"std_ms": 0.0767,
"mean_ms": 10.5
},
"benchmark": "H100_Modal/baseline_time_torch.json",
"externalId": "H100_Modal/torch/level1/25_Swish.py"
},
"protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
"workloadDigest": "sha256:4ac85993a183c62498b5a8c7e248d21e4f4c664ba7a2c6f87d5093306aea20a6",
"environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
"implementationDigest": "sha256:3dac0c1f17ecc8bf39887bf7f73901e4199a6c148ed0a5224de6355091644de3"
},
"metadata": {
"name": "kernelbench-h100-modal-torch-l1-25-swish",
"title": "Swish · PyTorch eager · 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)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for Swish →JSON