PyTorch eager
Gemm Add ReLU · batch_size = 1024 · in_features = 8192 · fp32 · run 01a03f0e-f83c…
●passedReported evidence
Not re-observed recently.
Primary measurement
5.11ms±0.03 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 5.19 · min ms 4.54 · std ms 0.146 · mean ms 5.11
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadbatch_size = 1024 · in_features = 8192 · fp32
comparison keysha256:fff155055a5aae3c…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level2/76_Gemm_Add_ReLU.py
sha256:f94f8b66b76b011e77e3db5…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size1024
in_features8192
input_1fp32 [1024, 8192]
definition comparatornot_asserted
Measurements
latency · max5.19 ms · n=100
latency · mean5.11 ms · n=100
latency · min4.54 ms · n=100
latency · std146.0 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.
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Canonical manifest
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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 Gemm Add ReLU →JSON