Run 01a02032 · KernelIndex

Primary measurement

67.2µsmean

Rank 2 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

3.15× reference

Identity

implementationclaude-opus-4-1-20250805_triton_9c959c

projectclaude-opus-4-1-20250805

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadm = 56 · fp16

comparison keysha256:a5c2e96596280fc9…

sourceFlashInfer-Bench

external idtrace/claude-opus-4-1-20250805_triton_9c959c/4582d127-a98f-47f9-9003-b6dfdc82bd99

sha256:1531788efc6cd4691f8cbad…

Correctness

comparatorflashinfer_bench_eval

max absolute error0

max relative error0

resultpassed

Workload

m56

afp16 [56, 7168]

bfp16 [256, 7168]

definition comparatorsol_execbench_eval

Measurements

latency · mean67.2 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

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Replications and notes

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 67238
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T01:17:04.283Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0,
        "maximumRelativeError": 0
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.06723783674586846,
          "speedup_factor": 3.1545886462180146,
          "reference_latency_ms": 0.21210771639477707
        },
        "benchmark": "gemm_n256_k7168"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:4250bd32b0fe9e9b19e21ddd8c94d11409514e1710491dbf6131f233563d150e",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:9a360956b7c6bb04626662e734a5a2c153aa6cfe4865342442bc2dad0a1ba7fc"
    },
    "metadata": {
      "name": "sol-trace-gemm-n256-k7168-4582d127",
      "title": "claude-opus-4-1-20250805_triton_9c959c · gemm_n256_k7168"
    },
    "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 n256 k7168 →JSON

claude-opus-4-1-20250805 / triton9c959c