PyTorch eager
GoogleNetInceptionV1 · width = 224 · height = 224 · batch_size = 10 · input_channels = 3 · fp32 · run 01a03f0e-f83f…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.15ms±0.01 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 2.38 · min ms 2.13 · std ms 0.0314 · mean ms 2.15
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth = 224 · height = 224 · batch_size = 10 · input_channels = 3 · fp32
comparison keysha256:edd2be850ded87d4…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level3/7_GoogleNetInceptionV1.py
sha256:a5265ef73d0d298dc112425…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width224
height224
batch_size10
input_channels3
input_1fp32 [10, 3, 224, 224]
definition comparatornot_asserted
Measurements
latency · max2.38 ms · n=100
latency · mean2.15 ms · n=100
latency · min2.13 ms · n=100
latency · std31.4 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": {
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"spec": {
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"timing": {
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"latencyNs": {
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"maximum": 2380000,
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"confidence95": [
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 31400,
"metric": "latency",
"statistic": "std"
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],
"sourceNative": {
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"metrics": {
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},
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"metadata": {
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"title": "GoogleNetInceptionV1 · PyTorch eager · Lambda Labs"
},
"apiVersion": "kernelindex.dev/v1alpha1"
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"protocol": {
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"spec": {
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},
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},
"comparability": {
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},
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}
}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for GoogleNetInceptionV1 →JSON