Skip to content
KernelIndex
Search⌘K

gpt-5 / cuda00b2dd

GQA paged decode h32 kv4 d128 ps1 · num_pages = 52831 · batch_size = 64 · len_indptr = 65 · num_kv_indices = 52815 · bf16 · run 01a02032-578e…
●passedReported evidence

Not re-observed recently.

Primary measurement
3.43msmean

Rank 5 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

541.65× reference

Identity
implementationgpt-5_cuda_00b2dd
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadnum_pages = 52831 · batch_size = 64 · len_indptr = 65 · num_kv_indices = 52815 · bf16
comparison keysha256:de3688cbc19f579e…
sourceFlashInfer-Bench
external idtrace/gpt-5_cuda_00b2dd/eb38f7ba-74d2-4233-92ea-d86bc961b4c7
sha256:4e4653532f487bd4571638a…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.0009765625
max relative error0.24172858893871307
resultpassed

Workload

num_pages52831
batch_size64
len_indptr65
num_kv_indices52815
qbf16 [64, 32, 128]
k_cachebf16 [52831, 1, 4, 128]
v_cachebf16 [52831, 1, 4, 128]
kv_indptrint32 [65]
kv_indicesint32 [52815]
definition comparatorsol_execbench_eval

Measurements

latency · mean3.43 ms

Protocol

harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)
cudaToolkit12.8
frameworkpytorch 2.8.0+cu128

Artifacts

No artifacts published with this run.

Replications and notes

No attestations yet.

Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.

Add a reproduction or note
I

Published under your account name. Community attestations never change the evidence level; a maintainer can hide abuse.

Canonical manifest

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 3426445
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T01:40:50.126Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.0009765625,
        "maximumRelativeError": 0.24172858893871307
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 3.426444541403662,
          "speedup_factor": 541.6456742568506,
          "reference_latency_ms": 1855.9188639322917
        },
        "benchmark": "gqa_paged_decode_h32_kv4_d128_ps1"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:ed0bcb93c7b2ebfb28f7c2c444465f1df23c21489fbc3bfda8b8634a9c5951fe",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:3b7023b82a8abc5ad4f3b833025c2f32a6e068b4c14d60cb171d681a82b194ed"
    },
    "metadata": {
      "name": "sol-trace-gqa-paged-decode-h32-kv4-d128-ps1-eb38f7ba",
      "title": "gpt-5_cuda_00b2dd · gqa_paged_decode_h32_kv4_d128_ps1"
    },
    "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"
  }
}
Cite this record (permalink, digest, access date)
Report an issue with this run

A maintainer reviews every report. If accepted, the record is retracted or superseded; its history stays visible.