gpt-5 / cuda00b2dd
GQA paged decode h32 kv4 d128 ps1 · num_pages = 5422 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 5372 · bf16 · run 01a02032-5791…
●passedReported evidence
Not re-observed recently.
Primary measurement
608.6µsmean
Rank 5 in its comparison group · source-native comparison · observed 2025-10-16
819.61× reference
Identity
implementationgpt-5_cuda_00b2dd
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadnum_pages = 5422 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 5372 · bf16
comparison keysha256:7f80bdcb82dd6ed9…
sourceFlashInfer-Bench
external idtrace/gpt-5_cuda_00b2dd/4b38a419-13ee-4a19-b89c-85e7677bc913
sha256:6f7059d8502398785c41881…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.00048828125
max relative error0.05011298507452011
resultpassed
Workload
num_pages5422
batch_size16
len_indptr17
num_kv_indices5372
qbf16 [16, 32, 128]
k_cachebf16 [5422, 1, 4, 128]
v_cachebf16 [5422, 1, 4, 128]
kv_indptrint32 [17]
kv_indicesint32 [5372]
definition comparatorsol_execbench_eval
Measurements
latency · mean608.6 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
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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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{
"run": {
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"spec": {
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"timing": {
"latencyNs": {
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},
"observedAt": "2025-10-16T01:47:22.521Z",
"correctness": {
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},
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"metadata": {
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}
}Cite this record (permalink, digest, access date)
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Published 2026-08-20 · FlashInfer-Bench · Apache-2.0All results for GQA paged decode h32 kv4 d128 ps1 →JSON