gpt-5 / cuda0b3c0a
GQA ragged prefill causal h32 kv8 d128 · total_q = 7 · total_kv = 7 · len_indptr = 2 · bf16 · run 01a02032-595c…
●passedReported evidence
Not re-observed recently.
Primary measurement
58.7µsmean
Rank 4 in its comparison group · source-native comparison · observed 2025-10-19
58.28× reference
Identity
implementationgpt-5_cuda_0b3c0a
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 7 · total_kv = 7 · len_indptr = 2 · bf16
comparison keysha256:549b0b8231a0623b…
sourceFlashInfer-Bench
external idtrace/gpt-5_cuda_0b3c0a/b8f94163-51d0-4a6f-8af1-6721221cfd67
sha256:a7c231093e8c579436bd42e…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.00390625
max relative error0.017724912613630295
resultpassed
Workload
total_q7
total_kv7
len_indptr2
kbf16 [7, 8, 128]
qbf16 [7, 32, 128]
vbf16 [7, 8, 128]
kv_indptrint32 [2]
qo_indptrint32 [2]
definition comparatorsol_execbench_eval
Measurements
latency · mean58.7 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
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.
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{
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"timing": {
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},
"observedAt": "2025-10-19T23:00:57.015Z",
"correctness": {
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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 ragged prefill causal h32 kv8 d128 →JSON