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cuda_sparse_nvfp4_naive_n2048_k2048

Sparse GEMM NVFP4 n2048 k2048 · m = 64 · int8 · run 01a00b1d-16fd…
●passedReproduction-ready evidence
Primary measurement
1.54msmean

Rank 1 in its comparison group · source-native comparison · observed 2026-06-06

0.41× reference

Identity
implementationcuda_sparse_nvfp4_naive_n2048_k2048
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadm = 64 · int8
comparison keysha256:d1e674a2efb9a28b…
sourceFlashInfer-Bench
external idtrace/cuda_sparse_nvfp4_naive_n2048_k2048/61362746-0e5f-4453-9746-4e15f15eca2b
sha256:f3c4b0bd1da334c2b8c2a4a…

Correctness

comparatorflashinfer_bench_eval
max absolute error0
max relative error0
resultpassed

Workload

m64
b_fp4int8 [2048, 1024]
a_metaint8 [64, 512]
a_valsint8 [64, 512]
a_scaleint8 [64, 128]
b_scaleint8 [2048, 128]
definition comparatorsol_execbench_eval

Measurements

latency · mean1.54 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

logssha256:62663ed3ae219b3f… · text/plain · unavailable

Replications and notes

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 1539892
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        "primaryStatistic": "mean"
      },
      "evidence": {
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      "observedAt": "2026-06-06T22:13:05.265Z",
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    "metadata": {
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}
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