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gpt-5 / cuda0b3c0a

GQA ragged prefill causal h32 kv8 d128 · total_q = 13557 · total_kv = 13557 · len_indptr = 26 · bf16 · run 01a02032-595b…
●passedReported evidence

Not re-observed recently.

Primary measurement
1.12smean

Rank 5 in its comparison group · source-native comparison · observed 2025-10-19

Compare with #1 →

0.04× reference

Identity
implementationgpt-5_cuda_0b3c0a
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 13557 · total_kv = 13557 · len_indptr = 26 · bf16
comparison keysha256:759dac61b4609cb9…
sourceFlashInfer-Bench
external idtrace/gpt-5_cuda_0b3c0a/6f3e1bfe-2209-4921-9be4-beed5c9744cb
sha256:e3cf315f80adde393d35c87…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.0078125
max relative error7.08603048324585
resultpassed

Workload

total_q13557
total_kv13557
len_indptr26
kbf16 [13557, 8, 128]
qbf16 [13557, 32, 128]
vbf16 [13557, 8, 128]
kv_indptrint32 [26]
qo_indptrint32 [26]
definition comparatorsol_execbench_eval

Measurements

latency · mean1.12 s

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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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 1116505371
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        "primaryStatistic": "mean"
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      "observedAt": "2025-10-19T22:58:22.179Z",
      "correctness": {
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        "maximumAbsoluteError": 0.0078125,
        "maximumRelativeError": 7.08603048324585
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      "sourceNative": {
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      },
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    },
    "metadata": {
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  "protocol": {
    "kind": "BenchmarkProtocol",
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    "kind": "ExecutionEnvironment",
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      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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