Run 01a02032 · KernelIndex

Primary measurement

18.9µsmean

Rank 4 in its comparison group · source-native comparison · observed 2025-10-19

Compare with #1 →

17.18× reference

Identity

implementationgpt-o3_cuda_025ec1

projectgpt-o3

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadtotal_q = 1 · total_kv = 1 · len_indptr = 2 · bf16

comparison keysha256:546ae20b2a13187e…

sourceFlashInfer-Bench

external idtrace/gpt-o3_cuda_025ec1/3a919718-bdfb-4030-8771-7e2cca27ada7

sha256:1435bd1a37fc7be21681dcd…

Correctness

comparatorflashinfer_bench_eval

max absolute error4.76837158203125e-7

max relative error0.000047016765165608376

resultpassed

Workload

total_q1

total_kv1

len_indptr2

kbf16 [1, 8, 128]

qbf16 [1, 32, 128]

vbf16 [1, 8, 128]

kv_indptrint32 [2]

qo_indptrint32 [2]

definition comparatorsol_execbench_eval

Measurements

latency · mean18.9 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

logssha256:f41c2620029e18c4… · text/plain · unavailable

Replications and notes

No attestations yet.

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": 18910
        },
        "primaryStatistic": "mean"
      },
      "evidence": {
        "logs": {
          "uri": "kernelindex:artifact/sha256:f41c2620029e18c460ad3d0b7e2c81437ef945b6e9f9bb02abc39058bc293b20",
          "digest": "sha256:f41c2620029e18c460ad3d0b7e2c81437ef945b6e9f9bb02abc39058bc293b20"
        }
      },
      "observedAt": "2025-10-19T22:59:39.227Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 4.76837158203125e-7,
        "maximumRelativeError": 0.000047016765165608376
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.018910030298957953,
          "speedup_factor": 17.17733735542256,
          "reference_latency_ms": 0.32482396984646283
        },
        "benchmark": "gqa_ragged_prefill_causal_h32_kv8_d128"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:162cf67de579e39ed2b8adb65e67a8065bdcbfbe2a1e7ecd331063d5376a8618",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:5acecad48c17870791beedfc3d3b0d9a71ca6932288f1c391313a146bb02752d"
    },
    "metadata": {
      "name": "sol-trace-gqa-ragged-prefill-causal-h32-kv8-d128-3a919718",
      "title": "gpt-o3_cuda_025ec1 · gqa_ragged_prefill_causal_h32_kv8_d128"
    },
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  },
  "protocol": {
    "kind": "BenchmarkProtocol",
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      },
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        "comparator": "flashinfer_bench_eval"
      },
      "measurement": {
        "timer": "harness_reported",
        "primaryStatistic": "mean"
      },
      "comparability": {
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      }
    },
    "metadata": {
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      "title": "FlashInfer-Bench trace harness"
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  "environment": {
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      "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 GQA ragged prefill causal h32 kv8 d128 →JSON

gpt-o3 / cuda025ec1