deepgemm_m_grouped_fp8_fp4_contiguous_g4_n2048_k2048
Grouped GEMM FP8 fp4 m contiguous g4 n2048 k2048 · m = 1920 · fp32/fp8_e4m3 · run 01a00b1d-10a5…
●passedReported evidence
Primary measurement
20.7µsmean
Rank 1 in its comparison group · source-native comparison · observed 2026-06-06
89.66× reference
Identity
implementationdeepgemm_m_grouped_fp8_fp4_contiguous_g4_n2048_k2048
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadm = 1920 · fp32/fp8_e4m3
comparison keysha256:b32dbe2648809496…
sourceFlashInfer-Bench
external idtrace/deepgemm_m_grouped_fp8_fp4_contiguous_g4_n2048_k2048/043a74d5-bb1c-46eb-a984-69fb5723ad94
sha256:9ba8902f9aa8e5adcab576d…
Correctness
comparatorflashinfer_bench_eval
max absolute error0.000244140625
max relative error0.011363467201590538
resultpassed
Workload
m1920
a_fp8fp8_e4m3 [1920, 2048]
b_fp4int8 [4, 2048, 1024]
a_scalefp32 [1920, 16]
b_scalefp32 [4, 2048, 64]
m_indicesint32 [1920]
definition comparatorsol_execbench_eval
Measurements
latency · mean20.7 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": 20746
},
"primaryStatistic": "mean"
},
"observedAt": "2026-06-06T21:16:54.122Z",
"correctness": {
"comparator": "sol_execbench_eval",
"maximumAbsoluteError": 0.000244140625,
"maximumRelativeError": 0.011363467201590538
},
"sourceNative": {
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"metrics": {
"latency_ms": 0.020746499999999998,
"speedup_factor": 89.6550663164068,
"reference_latency_ms": 1.8600288333333335
},
"benchmark": "grouped_gemm_fp8_fp4_m_contiguous_g4_n2048_k2048"
},
"protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
"workloadDigest": "sha256:663b37df99efb2c1302efaae6ea7c21c336180cea031324a92fbf380b16e5698",
"environmentDigest": "sha256:83c9b6e78d493927f18878d57448d9a0d2221a70840b562455b2665a2897ba19",
"implementationDigest": "sha256:7045e8316cd6f76d4c2e838c0b527c8a9a7cf49fa77a29b9fc1920ac82c084c1"
},
"metadata": {
"name": "sol-trace-grouped-gemm-fp8-fp4-m-contiguous-g4-n2048-k2048-043a74d5",
"title": "deepgemm_m_grouped_fp8_fp4_contiguous_g4_n2048_k2048 · grouped_gemm_fp8_fp4_m_contiguous_g4_n2048_k2048"
},
"apiVersion": "kernelindex.dev/v1alpha1"
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"protocol": {
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"spec": {
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},
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"measurement": {
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"primaryStatistic": "mean"
},
"comparability": {
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},
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},
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"environment": {
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"spec": {
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},
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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 Grouped GEMM FP8 fp4 m contiguous g4 n2048 k2048 →JSON