Run 01a00b1b · KernelIndex

Primary measurement

21.0µsmean

Rank 1 in its comparison group · source-native comparison · observed 2026-04-20

1.00× reference

Identity

implementationtorch_matmul_ff95bc

projectFlashInfer-Bench baselines

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadm = 232 · fp16

comparison keysha256:2a232675a0128397…

sourceFlashInfer-Bench

external idtrace/torch_matmul_ff95bc/478c93fa-d2bc-4927-8d9a-e6da75976747

sha256:7129ed9a22d4b29cd2a2ea4…

Correctness

comparatorflashinfer_bench_eval

max absolute error0

max relative error0

resultpassed

Workload

m232

afp16 [232, 8192]

bfp16 [2048, 8192]

definition comparatorsol_execbench_eval

Measurements

latency · mean21.0 µs

Protocol

harnessflashinfer-bench

timerharness_reported

primaryStatisticmean

correctnessReferencedefinition reference implementation

comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)

cudaToolkit13.0

frameworkpytorch 2.11.0+cu130

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": 21024
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-04-20T07:33:11.404Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0,
        "maximumRelativeError": 0
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.021023999899625778,
          "speedup_factor": 0.9984779183877205,
          "reference_latency_ms": 0.02099199965596199
        },
        "benchmark": "gemm_n2048_k8192"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:9003e0372c98093c3582a5e17023e986e43c8360446404b28e08f998b26d550f",
      "environmentDigest": "sha256:83c9b6e78d493927f18878d57448d9a0d2221a70840b562455b2665a2897ba19",
      "implementationDigest": "sha256:998384d633eaae861899f715f33187bca651506c1d4759c244d6ab04c6dc9850"
    },
    "metadata": {
      "name": "sol-trace-gemm-n2048-k8192-478c93fa",
      "title": "torch_matmul_ff95bc · gemm_n2048_k8192"
    },
    "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": "2.11.0+cu130"
        },
        "libraries": {
          "triton": "3.6.0"
        },
        "cudaToolkit": "13.0"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-11-0-cu130-3-6-0-13-0",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}

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Published 2026-08-16 · FlashInfer-Bench · Apache-2.0All results for GEMM n2048 k8192 →JSON

torch / matmulff95bc