Run 01a02032 · KernelIndex

Primary measurement

100.3µsmean

Rank 6 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

2.11× reference

Identity

implementationgpt-5-2025-08-07_cuda_69e4ed

projectgpt-5-2025-08-07

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadm = 32 · fp16

comparison keysha256:9d2897dfe0fafe2c…

sourceFlashInfer-Bench

external idtrace/gpt-5-2025-08-07_cuda_69e4ed/4c0d086f-f376-477d-875e-ccc1ca56b063

sha256:06f1d1e12065bae3b3d4fd9…

Correctness

comparatorflashinfer_bench_eval

max absolute error0

max relative error0

resultpassed

Workload

m32

afp16 [32, 2048]

bfp16 [128, 2048]

definition comparatorsol_execbench_eval

Measurements

latency · mean100.3 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": 100307
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T01:12:52.044Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0,
        "maximumRelativeError": 0
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.10030676453130667,
          "speedup_factor": 2.1121674968396444,
          "reference_latency_ms": 0.21186468775617365
        },
        "benchmark": "gemm_n128_k2048"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:1b00d2abc8d7819625f49a374c6b10aba1261f1941dd8419079c1fb400a03b8a",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:f6607605a4e8fd48e74c3686e49f2137fe945e624b1349d14c2e421a10dec3cd"
    },
    "metadata": {
      "name": "sol-trace-gemm-n128-k2048-4c0d086f",
      "title": "gpt-5-2025-08-07_cuda_69e4ed · 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-5-2025-08-07 / cuda69e4ed