Run 01a02032 · KernelIndex

Primary measurement

54.8µsmean

Rank 5 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

4.57× reference

Identity

implementationgpt-o3_triton_a796ab

projectgpt-o3

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadm = 17 · fp16

comparison keysha256:7b985cc94e525b40…

sourceFlashInfer-Bench

external idtrace/gpt-o3_triton_a796ab/4954f02d-95ab-4f09-87a3-f62da27aac7f

sha256:75131db183dfb803d76ad2f…

Correctness

comparatorflashinfer_bench_eval

max absolute error0

max relative error0

resultpassed

Workload

m17

afp16 [17, 2048]

bfp16 [128, 2048]

definition comparatorsol_execbench_eval

Measurements

latency · mean54.8 µs

Protocol

harnessflashinfer-bench

timerharness_reported

primaryStatisticmean

correctnessReferencedefinition reference implementation

comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)

cudaToolkit12.8

frameworkpytorch 2.8.0+cu128

Artifacts

No artifacts published with this run.

Replications and notes

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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": {
        "latencyNs": {
          "mean": 54770
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T01:11:55.522Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0,
        "maximumRelativeError": 0
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.05477022436990179,
          "speedup_factor": 4.568709224441072,
          "reference_latency_ms": 0.2502292293034775
        },
        "benchmark": "gemm_n128_k2048"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:16f39809df5fa2c681ba87225318d06f3d549cc77c8f103b524bddc16f37ebb7",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:4e11feadfd6f90d6e9e5bde81706ab18677688caf7d4c78ec7b940c13937b104"
    },
    "metadata": {
      "name": "sol-trace-gemm-n128-k2048-4954f02d",
      "title": "gpt-o3_triton_a796ab · gemm_n128_k2048"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "flashinfer-bench",
        "repository": "https://github.com/flashinfer-ai/flashinfer-bench"
      },
      "correctness": {
        "reference": "definition reference implementation",
        "comparator": "flashinfer_bench_eval"
      },
      "measurement": {
        "timer": "harness_reported",
        "primaryStatistic": "mean"
      },
      "comparability": {
        "family": "flashinfer_bench_trace"
      }
    },
    "metadata": {
      "name": "flashinfer-bench-trace",
      "title": "FlashInfer-Bench trace harness"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA B200",
        "architecture": "unknown"
      },
      "software": {
        "framework": {
          "name": "pytorch",
          "version": "2.8.0+cu128"
        },
        "libraries": {
          "triton": "3.4.0"
        },
        "cudaToolkit": "12.8"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-8-0-cu128-3-4-0-12-8",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}

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Published 2026-08-20 · FlashInfer-Bench · Apache-2.0All results for GEMM n128 k2048 →JSON

gpt-o3 / tritona796ab