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PyTorch eager

Matmul Swish Sum GroupNorm · batch_size = 32768 · in_features = 1024 · fp32 · run 01a03f0e-f839…
●passedReported evidence

Not re-observed recently.

Primary measurement
12.1ms±0.09 · mean of 100

Rank 2 in its comparison group · source-native comparison · observed 2026-03-05

Compare with #1 →

max ms 12.8 · min ms 11.2 · std ms 0.455 · mean ms 12.1

Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadbatch_size = 32768 · in_features = 1024 · fp32
comparison keysha256:63d2b25bc00b7605…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level2/37_Matmul_Swish_Sum_GroupNorm.py
sha256:8eb6f4972561c40dd65b73c…

Correctness

Marked passed by the source; the correctness policy was not published.

Workload

batch_size32768
in_features1024
input_1fp32 [32768, 1024]
definition comparatornot_asserted

Measurements

latency · max12.8 ms · n=100
latency · mean12.1 ms · n=100
latency · min11.2 ms · n=100
latency · std455.0 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

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Canonical manifest

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 100,
        "latencyNs": {
          "mean": 12100000,
          "maximum": 12800000,
          "minimum": 11200000,
          "confidence95": [
            12010820,
            12189180
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 455000,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
        "source": "kernelbench",
        "metrics": {
          "max_ms": 12.8,
          "min_ms": 11.2,
          "std_ms": 0.455,
          "mean_ms": 12.1
        },
        "benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch.json",
        "externalId": "H100_PCIe_LambdaLabs/torch/level2/37_Matmul_Swish_Sum_GroupNorm.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:57b4db04cc74c361eeb3edbd45b591b3dac5c0ac6aa8b46f43235128ae5b111f",
      "environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
      "implementationDigest": "sha256:6d2d2d275877a17ebabae820f75a6f1add317cdd434b239d2ca219b9071531d6"
    },
    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs-torch-l2-37-matmul-swish-sum-groupnorm",
      "title": "Matmul Swish Sum GroupNorm · PyTorch eager · Lambda Labs"
    },
    "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"
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    "apiVersion": "kernelindex.dev/v1alpha1"
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  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA H100",
        "formFactor": "PCIe",
        "architecture": "sm_90"
      },
      "software": {}
    },
    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs",
      "title": "KernelBench host · H100 PCIe (Lambda Labs)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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