flashinfer / wrapperfe59e7
GQA ragged prefill causal h24 kv8 d128 · total_q = 7759 · total_kv = 7759 · len_indptr = 8 · bf16 · run 01a00b1e-29bf…
●passedReported evidence
Primary measurement
397.7µsmean
Rank 1 in its comparison group · source-native comparison · observed 2026-04-12
30.07× reference
Identity
implementationflashinfer_wrapper_fe59e7
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 7759 · total_kv = 7759 · len_indptr = 8 · bf16
comparison keysha256:18495c33f64891e1…
sourceFlashInfer-Bench
external idtrace/flashinfer_wrapper_fe59e7/6f18b63e-9452-4b18-adb4-f91094d9cc6a
sha256:3189c66312ce6ef63403306…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.015625
max relative error8143.0517578125
resultpassed
Workload
total_q7759
total_kv7759
len_indptr8
kbf16 [7759, 8, 128]
qbf16 [7759, 24, 128]
vbf16 [7759, 8, 128]
kv_indptrint32 [8]
qo_indptrint32 [8]
definition comparatorsol_execbench_eval
Measurements
latency · mean397.7 µs
Protocol
harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace
Environment
gpuNVIDIA GB200 (unknown)
cudaToolkit13.0
frameworkpytorch 2.9.1+cu130
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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{
"run": {
"kind": "BenchmarkRun",
"spec": {
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"timing": {
"latencyNs": {
"mean": 397653
},
"primaryStatistic": "mean"
},
"observedAt": "2026-04-12T13:17:43.097Z",
"correctness": {
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"maximumAbsoluteError": 0.015625,
"maximumRelativeError": 8143.0517578125
},
"sourceNative": {
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"metadata": {
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"title": "flashinfer_wrapper_fe59e7 · gqa_ragged_prefill_causal_h24_kv8_d128"
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"protocol": {
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"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 ragged prefill causal h24 kv8 d128 →JSON