Run 01a00b1c · KernelIndex

Primary measurement

20.4µsmean

Rank 1 in its comparison group · source-native comparison · observed 2026-03-23

1.00× reference

Identity

implementationflashinfer_wrapper_4c2606

projectFlashInfer-Bench baselines

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadm = 88 · fp16

comparison keysha256:f297b8c37d035a3d…

sourceFlashInfer-Bench

external idtrace/flashinfer_wrapper_4c2606/e2d8e3a2-8b5d-4c17-a516-abf2351faa15

sha256:d1188555d659255273b80c4…

Correctness

comparatorflashinfer_bench_eval

max absolute error0

max relative error0

resultpassed

Workload

m88

afp16 [88, 5120]

bfp16 [7168, 5120]

definition comparatorsol_execbench_eval

Measurements

latency · mean20.4 µs

Protocol

harnessflashinfer-bench

timerharness_reported

primaryStatisticmean

correctnessReferencedefinition reference implementation

comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)

cudaToolkit12.8

frameworkpytorch 2.9.1+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": 20443
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-23T21:19:34.808Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0,
        "maximumRelativeError": 0
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.020442666666666665,
          "speedup_factor": 0.9952876337072789,
          "reference_latency_ms": 0.02034633333333333
        },
        "benchmark": "gemm_n7168_k5120"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:b0643cbc80a782f9b3303f35b224ac780c9a1a8777a8b8c6bffc00b5792ab206",
      "environmentDigest": "sha256:af7cb68a0bb0eb9671092a620668c2600f0431301fc46a71807ea75fb7de8bce",
      "implementationDigest": "sha256:cc3812f098c0dcb52b753724f414f95bea3d8cdb0dcebeda83e4740a63d2ef3a"
    },
    "metadata": {
      "name": "sol-trace-gemm-n7168-k5120-e2d8e3a2",
      "title": "flashinfer_wrapper_4c2606 · gemm_n7168_k5120"
    },
    "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": "2.9.1+cu128"
        },
        "libraries": {
          "triton": "3.5.1"
        },
        "cudaToolkit": "12.8"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-9-1-cu128-3-5-1-12-8",
      "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 n7168 k5120 →JSON

flashinfer / wrapper4c2606