PyTorch eager
Conv2d Activation BatchNorm · width = 128 · height = 128 · batch_size = 64 · in_channels = 64 · fp32 · run 01a03f0e-f6d5…
●passedReported evidence
Not re-observed recently.
Primary measurement
3.73ms±0.35 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 27 · min ms 3.48 · std ms 2.34 · mean ms 3.73
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth = 128 · height = 128 · batch_size = 64 · in_channels = 64 · fp32
comparison keysha256:31f22485a92db8ad…
sourceKernelBench baseline timings
external idH100_Modal/torch/level2/52_Conv2d_Activation_BatchNorm.py
sha256:1884716106762df990fdabb…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width128
height128
batch_size64
in_channels64
input_1fp32 [64, 64, 128, 128]
definition comparatornot_asserted
Measurements
latency · max27.0 ms · n=100
latency · mean3.73 ms · n=100
latency · min3.48 ms · n=100
latency · std2.34 ms
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.
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Canonical manifest
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{
"run": {
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"spec": {
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"timing": {
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"latencyNs": {
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},
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"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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"value": 2340000,
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"metadata": {
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"title": "Conv2d Activation BatchNorm · PyTorch eager · Modal"
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"comparability": {
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},
"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 Conv2d Activation BatchNorm →JSON