gpt-5 / tritoncb1275
GQA paged decode h32 kv8 d128 ps1 · num_pages = 59 · batch_size = 1 · len_indptr = 2 · num_kv_indices = 42 · bf16 · run 01a02032-591f…
●passedReported evidence
Not re-observed recently.
Primary measurement
92.7µsmean
Rank 7 in its comparison group · source-native comparison · observed 2025-10-16
347.68× reference
Identity
implementationgpt-5_triton_cb1275
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadnum_pages = 59 · batch_size = 1 · len_indptr = 2 · num_kv_indices = 42 · bf16
comparison keysha256:3d70f463edd70e95…
sourceFlashInfer-Bench
external idtrace/gpt-5_triton_cb1275/1ae14253-ba9f-4c01-ba80-d7684c79503e
sha256:43f0c098e6e0f9f1bcde976…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.000244140625
max relative error0.00531914783641696
resultpassed
Workload
num_pages59
batch_size1
len_indptr2
num_kv_indices42
qbf16 [1, 32, 128]
k_cachebf16 [59, 1, 8, 128]
v_cachebf16 [59, 1, 8, 128]
kv_indptrint32 [2]
kv_indicesint32 [42]
definition comparatorsol_execbench_eval
Measurements
latency · mean92.7 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.
Add a reproduction or note
Canonical manifest
Show manifestHide manifest
{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"latencyNs": {
"mean": 92748
},
"primaryStatistic": "mean"
},
"observedAt": "2025-10-16T01:53:00.650Z",
"correctness": {
"comparator": "sol_execbench_eval",
"maximumAbsoluteError": 0.000244140625,
"maximumRelativeError": 0.00531914783641696
},
"sourceNative": {
"source": "flashinfer-bench",
"metrics": {
"latency_ms": 0.09274772141781357,
"speedup_factor": 347.67828163603525,
"reference_latency_ms": 32.246368408203125
},
"benchmark": "gqa_paged_decode_h32_kv8_d128_ps1"
},
"protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
"workloadDigest": "sha256:1a546f48a7a8156b7ea1167c5c3906c64e2273902642b51e4f70d47b06343e60",
"environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
"implementationDigest": "sha256:10231abe2f3401b0219cd1d797d674a685a6d3a88856dbfa7eb880b115a36a37"
},
"metadata": {
"name": "sol-trace-gqa-paged-decode-h32-kv8-d128-ps1-1ae14253",
"title": "gpt-5_triton_cb1275 · gqa_paged_decode_h32_kv8_d128_ps1"
},
"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 B200",
"architecture": "unknown"
},
"software": {
"framework": {
"name": "pytorch",
"version": "2.8.0+cu128"
},
"libraries": {
"triton": "3.4.0"
},
"cudaToolkit": "12.8"
}
},
"metadata": {
"name": "sol-trace-nvidia-b200-2-8-0-cu128-3-4-0-12-8",
"title": "NVIDIA B200 (trace-reported software)"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
Report an issue with this run
Published 2026-08-20 · FlashInfer-Bench · Apache-2.0All results for GQA paged decode h32 kv8 d128 ps1 →JSON