gpt-5 / cuda00b2dd
GQA paged decode h32 kv4 d128 ps1 · num_pages = 10 · batch_size = 1 · len_indptr = 2 · num_kv_indices = 9 · bf16 · run 01a02032-5792…
●passedReproduction-ready evidence
Not re-observed recently.
Primary measurement
35.5µsmean
Rank 3 in its comparison group · source-native comparison · observed 2026-03-28
6.88× reference
Identity
implementationgpt-5_cuda_00b2dd
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadnum_pages = 10 · batch_size = 1 · len_indptr = 2 · num_kv_indices = 9 · bf16
comparison keysha256:254c06eeaddf6cb8…
sourceFlashInfer-Bench
sha256:8189c4da960926ef11d8b5b…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.00006103515625
max relative error0.007237577810883522
resultpassed
Workload
num_pages10
batch_size1
len_indptr2
num_kv_indices9
qbf16 [1, 32, 128]
k_cachebf16 [10, 1, 4, 128]
v_cachebf16 [10, 1, 4, 128]
kv_indptrint32 [2]
kv_indicesint32 [9]
definition comparatorsol_execbench_eval
Measurements
latency · mean35.5 µs
Protocol
harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace
Environment
gpuNVIDIA B200 (unknown)
cudaToolkit12.8
frameworkpytorch 2.9.1+cu128
Artifacts
logssha256:ff3d6e426981602d… · 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": 35461
},
"primaryStatistic": "mean"
},
"evidence": {
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}
},
"observedAt": "2026-03-28T14:38:23.375Z",
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"sourceNative": {
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},
"metadata": {
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"title": "gpt-5_cuda_00b2dd · gqa_paged_decode_h32_kv4_d128_ps1"
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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