Run 01a03f0e · KernelIndex

Primary measurement

3.84ms±0.00 · mean of 100

Rank 1 in its comparison group · source-native comparison · observed 2026-03-05

max ms 3.89 · min ms 3.83 · std ms 0.0188 · mean ms 3.84

Identity

implementationtorch.compile (inductor)

projectPyTorch

revisionunknown

workloaddepth = 16 · width = 64 · height = 64 · batch_size = 128 · in_channels = 3 · fp32

comparison keysha256:b9da46c776121199…

sourceKernelBench baseline timings

external idH100_PCIe_LambdaLabs/torch-compile-inductor/level2/48_Conv3d_Scaling_Tanh_Multiply_Sigmoid.py

sha256:42a6cef8f5c5c35f94693d8…

Correctness

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

Workload

depth16

width64

height64

batch_size128

in_channels3

input_1fp32 [128, 3, 16, 64, 64]

definition comparatornot_asserted

Measurements

latency · max3.89 ms · n=100

latency · mean3.84 ms · n=100

latency · min3.83 ms · n=100

latency · std18.8 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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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 100,
        "latencyNs": {
          "mean": 3840000,
          "maximum": 3890000,
          "minimum": 3830000,
          "confidence95": [
            3836315,
            3843685
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 18800,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
        "source": "kernelbench",
        "metrics": {
          "max_ms": 3.89,
          "min_ms": 3.83,
          "std_ms": 0.0188,
          "mean_ms": 3.84
        },
        "benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch_compile_inductor_default.json",
        "externalId": "H100_PCIe_LambdaLabs/torch-compile-inductor/level2/48_Conv3d_Scaling_Tanh_Multiply_Sigmoid.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:a1f439e0cf812cbdce57ae629c8dc89e72ead0cde780dc128de6ef5649ccf2a2",
      "environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
      "implementationDigest": "sha256:49dba1cc8890d9cc5835db7824995d13b6c94cb84740e4809ff7f971b04f911b"
    },
    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs-torch-compile-inductor-l2-48-conv3d-scaling-tanh-multiply-sigmoid",
      "title": "Conv3d Scaling Tanh Multiply Sigmoid · torch.compile (inductor) · 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"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "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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Published 2026-08-26 · KernelBench baseline timings · MITAll results for Conv3d Scaling Tanh Multiply Sigmoid →JSON