flashinfer / wrapper06ced8
GQA paged prefill causal h32 kv8 d64 ps64 · total_q = 576 · num_pages = 1 · batch_size = 2 · len_indptr = 2 · num_kv_indices = 576 · bf16 · run 01a00b1e-0d68…
●passedReported evidence
Primary measurement
663.3µsmean
Rank 1 in its comparison group · source-native comparison · observed 2026-04-20
16.96× reference
Identity
implementationflashinfer_wrapper_06ced8
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 576 · num_pages = 1 · batch_size = 2 · len_indptr = 2 · num_kv_indices = 576 · bf16
comparison keysha256:04f6580f960979f3…
sourceFlashInfer-Bench
external idtrace/flashinfer_wrapper_06ced8/b5f2086c-8df8-4ee3-9883-b2ba121c7b69
sha256:0b1d0dbd3ca66637872a32a…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.00390625
max relative error17755.462890625
resultpassed
Workload
total_q576
num_pages1
batch_size2
len_indptr2
num_kv_indices576
qbf16 [576, 32, 64]
k_cachebf16 [1, 64, 8, 64]
v_cachebf16 [1, 64, 8, 64]
kv_indptrint32 [2]
qo_indptrint32 [2]
kv_indicesint32 [576]
kv_last_page_lenint32 [2]
definition comparatorsol_execbench_eval
Measurements
latency · mean663.3 µs
Protocol
harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace
Environment
gpuNVIDIA B200 (unknown)
cudaToolkit13.0
frameworkpytorch 2.11.0+cu130
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": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"latencyNs": {
"mean": 663253
},
"primaryStatistic": "mean"
},
"observedAt": "2026-04-20T07:06:43.658Z",
"correctness": {
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"maximumAbsoluteError": 0.00390625,
"maximumRelativeError": 17755.462890625
},
"sourceNative": {
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"metrics": {
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"speedup_factor": 16.956867108761806,
"reference_latency_ms": 11.246698697408041
},
"benchmark": "gqa_paged_prefill_causal_h32_kv8_d64_ps64"
},
"protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
"workloadDigest": "sha256:e8fb2485da456a9e19d841bba70aafc578f4fd97318be5e27fdae6a10dbf9346",
"environmentDigest": "sha256:83c9b6e78d493927f18878d57448d9a0d2221a70840b562455b2665a2897ba19",
"implementationDigest": "sha256:f380f1d494d1b577c1e15d527cc16c76faf4cc56454b9f4d98b5fb53d0a46de6"
},
"metadata": {
"name": "sol-trace-gqa-paged-prefill-causal-h32-kv8-d64-ps64-b5f2086c",
"title": "flashinfer_wrapper_06ced8 · gqa_paged_prefill_causal_h32_kv8_d64_ps64"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
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},
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},
"measurement": {
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},
"comparability": {
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}
},
"metadata": {
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},
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"environment": {
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},
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"title": "NVIDIA B200 (trace-reported software)"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-16 · FlashInfer-Bench · Apache-2.0All results for GQA paged prefill causal h32 kv8 d64 ps64 →JSON