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torch.compile (inductor)

Square matrix multiplication · n = 4096 · fp32 · run 01a03f0e-f6dd…
●passedReported evidence

Not re-observed recently.

Primary measurement
2.67ms±0.01 · mean of 100

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

Compare with #1 →

max ms 3.18 · min ms 2.66 · std ms 0.0519 · mean ms 2.67

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadn = 4096 · fp32
comparison keysha256:20119bd0b90bea78…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/1_Square_matrix_multiplication_.py
sha256:f5d8a0d33e6fcdc55106b1f…

Correctness

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

Workload

n4096
afp32 [4096, 4096]
bfp32 [4096, 4096]
definition comparatornot_asserted

Measurements

latency · max3.18 ms · n=100
latency · mean2.67 ms · n=100
latency · min2.66 ms · n=100
latency · std51.9 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": 2670000,
          "maximum": 3180000,
          "minimum": 2660000,
          "confidence95": [
            2660000,
            2680172
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 51900,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
        "source": "kernelbench",
        "metrics": {
          "max_ms": 3.18,
          "min_ms": 2.66,
          "std_ms": 0.0519,
          "mean_ms": 2.67
        },
        "benchmark": "H100_Modal/baseline_time_torch_compile_inductor_default.json",
        "externalId": "H100_Modal/torch-compile-inductor/level1/1_Square_matrix_multiplication_.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:3400021db8b3e464c730b7983702a72020986ae8393f731bec3853e61ac92d54",
      "environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
      "implementationDigest": "sha256:ba769791f3451897017c41e4d95beeda0983b65671838e0f31bbaf238e984829"
    },
    "metadata": {
      "name": "kernelbench-h100-modal-torch-compile-inductor-l1-1-square-matrix-multiplication",
      "title": "Square matrix multiplication · torch.compile (inductor) · Modal"
    },
    "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": "80GB HBM3",
        "architecture": "sm_90"
      },
      "software": {}
    },
    "metadata": {
      "name": "kernelbench-h100-modal",
      "title": "KernelBench host · H100 80GB HBM3 (Modal)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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