cublaslt_nvfp4_scaled_mm_n4096_k4096
GEMM NVFP4 n4096 k4096 · m = 256 · int8 · run 01a00b1d-0df7…
●passedReported evidence
Primary measurement
103.0µsmean
Rank 4 in its comparison group · source-native comparison · observed 2026-06-06
8.40× reference
Identity
implementationcublaslt_nvfp4_scaled_mm_n4096_k4096
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadm = 256 · int8
comparison keysha256:ef48a38b0d11124d…
sourceFlashInfer-Bench
external idtrace/cublaslt_nvfp4_scaled_mm_n4096_k4096/19ca80d3-8de7-4caa-ba6a-39fde2a8b349
sha256:1316a3d30fff2d18ed3f2eb…
Correctness
comparatorflashinfer_bench_eval
max absolute error2
max relative error0.007751937955617905
resultpassed
Workload
m256
a_fp4int8 [256, 2048]
b_fp4int8 [4096, 2048]
a_scaleint8 [256, 256]
b_scaleint8 [4096, 256]
definition comparatorsol_execbench_eval
Measurements
latency · mean103.0 µs
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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Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
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{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"latencyNs": {
"mean": 103002
},
"primaryStatistic": "mean"
},
"observedAt": "2026-06-06T21:33:38.639Z",
"correctness": {
"comparator": "sol_execbench_eval",
"maximumAbsoluteError": 2,
"maximumRelativeError": 0.007751937955617905
},
"sourceNative": {
"source": "flashinfer-bench",
"metrics": {
"latency_ms": 0.10300183333333333,
"speedup_factor": 8.398674133631927,
"reference_latency_ms": 0.8650788333333334
},
"benchmark": "gemm_nvfp4_n4096_k4096"
},
"protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
"workloadDigest": "sha256:c9f1c20aea2328eb07cbaba3a494889bf22dab9795788f132ce809a7e4c8ce8a",
"environmentDigest": "sha256:83c9b6e78d493927f18878d57448d9a0d2221a70840b562455b2665a2897ba19",
"implementationDigest": "sha256:516d6dd27b7a158a52b5ba6606ab3a6cb1a92c862d28a272f3cdcad9842fc96b"
},
"metadata": {
"name": "sol-trace-gemm-nvfp4-n4096-k4096-19ca80d3",
"title": "cublaslt_nvfp4_scaled_mm_n4096_k4096 · gemm_nvfp4_n4096_k4096"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
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},
"correctness": {
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},
"measurement": {
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"primaryStatistic": "mean"
},
"comparability": {
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},
"metadata": {
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"title": "FlashInfer-Bench trace harness"
},
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"environment": {
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}
},
"metadata": {
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"title": "NVIDIA B200 (trace-reported software)"
},
"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 GEMM NVFP4 n4096 k4096 →JSON