Run 01a00b1c · KernelIndex

Primary measurement

18.2µsmean

Rank 3 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

32.17× reference

Identity

implementationtorch_matmul_254647

projectFlashInfer-Bench baselines

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadm = 256 · fp16

comparison keysha256:f769b045e8328e42…

sourceFlashInfer-Bench

external idtrace/torch_matmul_254647/280860e6-08f0-427c-b7c5-9cffcfab1a10

sha256:da9594d5ac053ce930b9e0f…

Correctness

comparatorflashinfer_bench_eval

max absolute error0

max relative error0

resultpassed

Workload

m256

afp16 [256, 4096]

bfp16 [4096, 4096]

definition comparatorsol_execbench_eval

Measurements

latency · mean18.2 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

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": 18215
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T01:18:59.618Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0,
        "maximumRelativeError": 0
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.018214825599187398,
          "speedup_factor": 32.172458069724485,
          "reference_latency_ms": 0.5860157128372007
        },
        "benchmark": "gemm_n4096_k4096"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:1bc2961fda63446876d97dfd0daab606b681ec6b24eac03e8e8c0a2a7ae0cd46",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:69e4d461225b66047c84b1a763e08ba66280e6d9641575d8d53bd93c8b48ec3d"
    },
    "metadata": {
      "name": "sol-trace-gemm-n4096-k4096-280860e6",
      "title": "torch_matmul_254647 · gemm_n4096_k4096"
    },
    "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 2026-08-16 · FlashInfer-Bench · Apache-2.0All results for GEMM n4096 k4096 →JSON