gpt-5 / cudac0b7b7
GQA ragged prefill causal h32 kv4 d128 · total_q = 969 · total_kv = 969 · len_indptr = 16 · bf16 · run 01a02032-595a…
●passedReported evidence
Not re-observed recently.
Primary measurement
25.0msmean
Rank 5 in its comparison group · source-native comparison · observed 2025-10-20
1.60× reference
Identity
implementationgpt-5_cuda_c0b7b7
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 969 · total_kv = 969 · len_indptr = 16 · bf16
comparison keysha256:d263e8051b2ab468…
sourceFlashInfer-Bench
external idtrace/gpt-5_cuda_c0b7b7/b3445888-8668-4721-9359-9da119ab9f34
sha256:16f859c975232fed5bcd03c…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.0078125
max relative error0.6002562642097473
resultpassed
Workload
total_q969
total_kv969
len_indptr16
kbf16 [969, 4, 128]
qbf16 [969, 32, 128]
vbf16 [969, 4, 128]
kv_indptrint32 [16]
qo_indptrint32 [16]
definition comparatorsol_execbench_eval
Measurements
latency · mean25.0 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
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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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}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 kv4 d128 →JSON