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PyTorch eager

conv pointwise 2D · width = 1024 · height = 1024 · batch_size = 16 · in_channels = 64 · fp32 · run 01a03f0e-f836…
●passedReported evidence

Not re-observed recently.

Primary measurement
7.64ms±0.00 · mean of 100

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

max ms 7.66 · min ms 7.63 · std ms 0.00555 · mean ms 7.64

Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth = 1024 · height = 1024 · batch_size = 16 · in_channels = 64 · fp32
comparison keysha256:674646cc8aa99ae4…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level1/87_conv_pointwise_2D.py
sha256:bddc0352ea49163856ac956…

Correctness

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

Workload

width1024
height1024
batch_size16
in_channels64
xfp32 [16, 64, 1024, 1024]
definition comparatornot_asserted

Measurements

latency · max7.66 ms · n=100
latency · mean7.64 ms · n=100
latency · min7.63 ms · n=100
latency · std5.55 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": {
          "mean": 7640000,
          "maximum": 7660000,
          "minimum": 7630000,
          "confidence95": [
            7638912,
            7641088
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 5550,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
        "source": "kernelbench",
        "metrics": {
          "max_ms": 7.66,
          "min_ms": 7.63,
          "std_ms": 0.00555,
          "mean_ms": 7.64
        },
        "benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch.json",
        "externalId": "H100_PCIe_LambdaLabs/torch/level1/87_conv_pointwise_2D.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:33a870d735241e05220f1205eed9467a17d693ec5f3075115bcb0495d896bf3e",
      "environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
      "implementationDigest": "sha256:a1c21535abaadf54ee71d6a54eb6f9d359396502c220d659a0669f721dc9f9ee"
    },
    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs-torch-l1-87-conv-pointwise-2d",
      "title": "conv pointwise 2D · PyTorch eager · 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"
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    "apiVersion": "kernelindex.dev/v1alpha1"
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  "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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