cuda_sparse_fp4_fp8_naive_n2048_k2048
Sparse GEMM fp4 FP8 n2048 k2048 · m = 128 · fp8_e4m3 · run 01a00b1d-169b…
●passedReported evidence
Primary measurement
1.48msmean
Rank 1 in its comparison group · source-native comparison · observed 2026-06-06
0.26× reference
Identity
implementationcuda_sparse_fp4_fp8_naive_n2048_k2048
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadm = 128 · fp8_e4m3
comparison keysha256:ae8b19c43134ed40…
sourceFlashInfer-Bench
external idtrace/cuda_sparse_fp4_fp8_naive_n2048_k2048/f8e2a3e7-c183-4995-b4ae-e105aede4607
sha256:fc5054ef3d1bb76806aebce…
Correctness
comparatorflashinfer_bench_eval
max absolute error0
max relative error0
resultpassed
Workload
m128
b_fp8fp8_e4m3 [2048, 2048]
a_metaint8 [128, 512]
a_valsint8 [128, 512]
definition comparatorsol_execbench_eval
Measurements
latency · mean1.48 ms
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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{
"run": {
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"spec": {
"status": "passed",
"timing": {
"latencyNs": {
"mean": 1481078
},
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},
"observedAt": "2026-06-06T21:51:02.370Z",
"correctness": {
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"maximumAbsoluteError": 0,
"maximumRelativeError": 0
},
"sourceNative": {
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"metrics": {
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}
}Cite this record (permalink, digest, access date)
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Published 2026-08-16 · FlashInfer-Bench · Apache-2.0All results for Sparse GEMM fp4 FP8 n2048 k2048 →JSON