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torch.compile (inductor)

4D tensor matrix multiplication · b = 8 · i = 256 · j = 512 · k = 768 · l = 256 · fp32 · run 01a03f0e-f843…
●passedReported evidence

Not re-observed recently.

Primary measurement
13.1ms±0.11 · mean of 100

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

Compare with #1 →

max ms 13.7 · min ms 11.2 · std ms 0.539 · mean ms 13.1

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadb = 8 · i = 256 · j = 512 · k = 768 · l = 256 · fp32
comparison keysha256:03b81849e1401a04…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/11_4D_tensor_matrix_multiplication.py
sha256:4772fa62a095b54ca0da645…

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 · max13.7 ms · n=100
latency · mean13.1 ms · n=100
latency · min11.2 ms · n=100
latency · std539.0 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
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    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 100,
        "latencyNs": {
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          "minimum": 11200000,
          "confidence95": [
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            13205644
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 539000,
          "metric": "latency",
          "statistic": "std"
        }
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          "std_ms": 0.539,
          "mean_ms": 13.1
        },
        "benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch_compile_inductor_default.json",
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      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:6df7702acbf46673dbde46d544197b135025e0bed166539ba20f7f216427c98a",
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      "implementationDigest": "sha256:dc572fba73a1c59a093f530b47b6ada6530fb891d24d38fc9ee1a41db65f729e"
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    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs-torch-compile-inductor-l1-11-4d-tensor-matrix-multiplication",
      "title": "4D tensor matrix multiplication · torch.compile (inductor) · Lambda Labs"
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  "protocol": {
    "kind": "BenchmarkProtocol",
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      },
      "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",
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}
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