flashinfer / wrapper92685d
GQA paged prefill causal h24 kv8 d128 ps64 · total_q = 136 · num_pages = 4935 · len_indptr = 2 · num_kv_indices = 136 · bf16 · run 01a00b1d-e74d…
●passedReported evidence
Primary measurement
1.25msmean
Rank 1 in its comparison group · source-native comparison · observed 2026-04-12
2.79× reference
Identity
implementationflashinfer_wrapper_92685d
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 136 · num_pages = 4935 · len_indptr = 2 · num_kv_indices = 136 · bf16
comparison keysha256:5781f94d186e77cf…
sourceFlashInfer-Bench
external idtrace/flashinfer_wrapper_92685d/446a6998-99f6-404e-b918-57bc49aa31a1
sha256:989b30a05240726e50f556e…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.00048828125
max relative error1698.4158935546875
resultpassed
Workload
total_q136
num_pages4935
len_indptr2
num_kv_indices136
qbf16 [136, 24, 128]
k_cachebf16 [4935, 64, 8, 128]
v_cachebf16 [4935, 64, 8, 128]
kv_indptrint32 [2]
qo_indptrint32 [2]
kv_indicesint32 [136]
kv_last_page_lenint32 [2]
definition comparatorsol_execbench_eval
Measurements
latency · mean1.25 ms
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
No attestations yet.
Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
Add a reproduction or note
Canonical manifest
Show manifestHide manifest
{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"latencyNs": {
"mean": 1249787
},
"primaryStatistic": "mean"
},
"observedAt": "2026-04-12T13:06:27.145Z",
"correctness": {
"comparator": "sol_execbench_eval",
"maximumAbsoluteError": 0.00048828125,
"maximumRelativeError": 1698.4158935546875
},
"sourceNative": {
"source": "flashinfer-bench",
"metrics": {
"latency_ms": 1.2497866749763489,
"speedup_factor": 2.785589009431112,
"reference_latency_ms": 3.481392025947571
},
"benchmark": "gqa_paged_prefill_causal_h24_kv8_d128_ps64"
},
"protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
"workloadDigest": "sha256:aa900455a428313357fc1e8965cb9450367fcfe67027eadcdded544e741e3b9a",
"environmentDigest": "sha256:1766500d1b1ecc9787a211f3c98e76bf311671f443544a305252cb4d9564be8b",
"implementationDigest": "sha256:17129d5acfdad58e41e1e72fdb1b2a4c53cb78a99f60f730c4e6a4d93d38a2b0"
},
"metadata": {
"name": "sol-trace-gqa-paged-prefill-causal-h24-kv8-d128-ps64-446a6998",
"title": "flashinfer_wrapper_92685d · gqa_paged_prefill_causal_h24_kv8_d128_ps64"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
"harness": {
"name": "flashinfer-bench",
"repository": "https://github.com/flashinfer-ai/flashinfer-bench"
},
"correctness": {
"reference": "definition reference implementation",
"comparator": "flashinfer_bench_eval"
},
"measurement": {
"timer": "harness_reported",
"primaryStatistic": "mean"
},
"comparability": {
"family": "flashinfer_bench_trace"
}
},
"metadata": {
"name": "flashinfer-bench-trace",
"title": "FlashInfer-Bench trace harness"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"environment": {
"kind": "ExecutionEnvironment",
"spec": {
"hardware": {
"vendor": "nvidia",
"product": "NVIDIA GB200",
"architecture": "unknown"
},
"software": {
"framework": {
"name": "pytorch",
"version": "2.9.1+cu130"
},
"libraries": {
"triton": "3.3.0"
},
"cudaToolkit": "13.0"
}
},
"metadata": {
"name": "sol-trace-nvidia-gb200-2-9-1-cu130-3-3-0-13-0",
"title": "NVIDIA GB200 (trace-reported software)"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
Report an issue with this run
Published 2026-08-16 · FlashInfer-Bench · Apache-2.0All results for GQA paged prefill causal h24 kv8 d128 ps64 →JSON