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torch.compile (inductor)

4D tensor matrix multiplication · b = 8 · i = 256 · j = 512 · k = 768 · l = 256 · fp32 · run 01a03f0e-f6de…
●passedReported evidence

Not re-observed recently.

Primary measurement
10.9ms±0.21 · mean of 100

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

max ms 15.6 · min ms 10 · std ms 1.07 · mean ms 10.9

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadb = 8 · i = 256 · j = 512 · k = 768 · l = 256 · fp32
comparison keysha256:ad987457102508e0…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/11_4D_tensor_matrix_multiplication.py
sha256:05015e7427e70b38896285e…

Correctness

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

Workload

b8
i256
j512
k768
l256
afp32 [8, 256, 512, 256]
bfp32 [256, 768]
definition comparatornot_asserted

Measurements

latency · max15.6 ms · n=100
latency · mean10.9 ms · n=100
latency · min10.0 ms · n=100
latency · std1.07 ms

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
{
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    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 100,
        "latencyNs": {
          "mean": 10900000,
          "maximum": 15600000,
          "minimum": 10000000,
          "confidence95": [
            10690280,
            11109720
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 1070000,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
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        "metrics": {
          "max_ms": 15.6,
          "min_ms": 10,
          "std_ms": 1.07,
          "mean_ms": 10.9
        },
        "benchmark": "H100_Modal/baseline_time_torch_compile_inductor_default.json",
        "externalId": "H100_Modal/torch-compile-inductor/level1/11_4D_tensor_matrix_multiplication.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:6df7702acbf46673dbde46d544197b135025e0bed166539ba20f7f216427c98a",
      "environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
      "implementationDigest": "sha256:dc572fba73a1c59a093f530b47b6ada6530fb891d24d38fc9ee1a41db65f729e"
    },
    "metadata": {
      "name": "kernelbench-h100-modal-torch-compile-inductor-l1-11-4d-tensor-matrix-multiplication",
      "title": "4D tensor matrix multiplication · torch.compile (inductor) · Modal"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
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        "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": "80GB HBM3",
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    },
    "metadata": {
      "name": "kernelbench-h100-modal",
      "title": "KernelBench host · H100 80GB HBM3 (Modal)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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