Run 01a03f0e · KernelIndex

Primary measurement

4.93ms±0.00 · mean of 100

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

max ms 4.96 · min ms 4.91 · std ms 0.00966 · mean ms 4.93

Identity

implementationtorch.compile (inductor)

projectPyTorch

revisionunknown

workloaddepth = 32 · width = 64 · height = 64 · batch_size = 32 · in_channels = 32 · fp32

comparison keysha256:2dca9fa51ea7c0fc…

sourceKernelBench baseline timings

external idH100_PCIe_LambdaLabs/torch-compile-inductor/level2/38_ConvTranspose3d_AvgPool_Clamp_Softmax_Multiply.py

sha256:36b9966c07f5488eb62b3a3…

Correctness

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

Workload

depth32

width64

height64

batch_size32

in_channels32

input_1fp32 [32, 32, 32, 64, 64]

definition comparatornot_asserted

Measurements

latency · max4.96 ms · n=100

latency · mean4.93 ms · n=100

latency · min4.91 ms · n=100

latency · std9.66 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": 4930000,
          "maximum": 4960000,
          "minimum": 4910000,
          "confidence95": [
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            4931893
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 9660,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
        "source": "kernelbench",
        "metrics": {
          "max_ms": 4.96,
          "min_ms": 4.91,
          "std_ms": 0.00966,
          "mean_ms": 4.93
        },
        "benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch_compile_inductor_default.json",
        "externalId": "H100_PCIe_LambdaLabs/torch-compile-inductor/level2/38_ConvTranspose3d_AvgPool_Clamp_Softmax_Multiply.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:9215c7a8bd89c0d150b212e0e14cb7d06f1351f33b2da1c6f852f236c625f1be",
      "environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
      "implementationDigest": "sha256:06d972b183c4d8832d2535150d88b13c1a50e9d69e6df38be9c6988a804f5683"
    },
    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs-torch-compile-inductor-l2-38-convtranspose3d-avgpool-clamp-softmax-",
      "title": "ConvTranspose3d AvgPool Clamp Softmax Multiply · 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 ConvTranspose3d AvgPool Clamp Softmax Multiply →JSON