Run 01a00b1d · KernelIndex

Primary measurement

13.4µsmean

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

18.92× reference

Identity

implementationflashinfer_wrapper_68ff49

projectFlashInfer-Bench baselines

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadnum_pages = 72 · batch_size = 1 · len_indptr = 2 · num_kv_indices = 8 · bf16

comparison keysha256:00e0e5d40f4ed4cc…

sourceFlashInfer-Bench

external idtrace/flashinfer_wrapper_68ff49/f5ae694d-0c9c-4534-8ab2-b4cdd38d6a35

sha256:dc5404fef09f716ba504867…

Correctness

comparatorflashinfer_bench_eval

max absolute error0.0009765625

max relative error24.489131927490234

resultpassed

Workload

num_pages72

batch_size1

len_indptr2

num_kv_indices8

qbf16 [1, 32, 64]

k_cachebf16 [72, 64, 8, 64]

v_cachebf16 [72, 64, 8, 64]

kv_indptrint32 [2]

kv_indicesint32 [8]

kv_last_page_lenint32 [1]

definition comparatorsol_execbench_eval

Measurements

latency · mean13.4 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

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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": 13419
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-04-20T07:33:21.963Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.0009765625,
        "maximumRelativeError": 24.489131927490234
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.013418666707972685,
          "speedup_factor": 18.91573962214206,
          "reference_latency_ms": 0.25382400552431744
        },
        "benchmark": "gqa_paged_decode_h32_kv8_d64_ps64"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:05893de2cd1113ae5f3ef1c1cc1a235589adef5a8209698b4e2f7928b7a89f79",
      "environmentDigest": "sha256:83c9b6e78d493927f18878d57448d9a0d2221a70840b562455b2665a2897ba19",
      "implementationDigest": "sha256:00c3274edaddef3a4089443d1ed3c6f4dd9b23096d6583d4d8a99c067d2f11ea"
    },
    "metadata": {
      "name": "sol-trace-gqa-paged-decode-h32-kv8-d64-ps64-f5ae694d",
      "title": "flashinfer_wrapper_68ff49 · gqa_paged_decode_h32_kv8_d64_ps64"
    },
    "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 GQA paged decode h32 kv8 d64 ps64 →JSON

flashinfer / wrapper68ff49