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deepgemm_m_grouped_fp8_fp4_contiguous_g4_n4096_k2048

Grouped GEMM FP8 fp4 m contiguous g4 n4096 k2048 · m = 960 · fp32/fp8_e4m3 · run 01a00b1d-1107…
●passedReported evidence
Primary measurement
22.4µsmean

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

92.15× reference

Identity
implementationdeepgemm_m_grouped_fp8_fp4_contiguous_g4_n4096_k2048
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadm = 960 · fp32/fp8_e4m3
comparison keysha256:5ba26d63d3f3eb28…
sourceFlashInfer-Bench
external idtrace/deepgemm_m_grouped_fp8_fp4_contiguous_g4_n4096_k2048/1db2e52d-4218-45f5-885e-5a401f927e12
sha256:ae6bf3de3ba80f5d102ca12…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.000030517578125
max relative error0.004385958891361952
resultpassed

Workload

m960
a_fp8fp8_e4m3 [960, 2048]
b_fp4int8 [4, 4096, 1024]
a_scalefp32 [960, 16]
b_scalefp32 [4, 4096, 64]
m_indicesint32 [960]
definition comparatorsol_execbench_eval

Measurements

latency · mean22.4 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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Canonical manifest

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 22384
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-06-06T21:17:01.746Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.000030517578125,
        "maximumRelativeError": 0.004385958891361952
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.022383833333333335,
          "speedup_factor": 92.15203681228266,
          "reference_latency_ms": 2.0627158333333333
        },
        "benchmark": "grouped_gemm_fp8_fp4_m_contiguous_g4_n4096_k2048"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:d9afcdada3bc9b03fb6b059a50e6e23b8ba0c08645ceea8c05f4713311874c4f",
      "environmentDigest": "sha256:83c9b6e78d493927f18878d57448d9a0d2221a70840b562455b2665a2897ba19",
      "implementationDigest": "sha256:db8f7858b0ab133e18c1212c427e8259482f2329a96eaa8a2458b182bdce0585"
    },
    "metadata": {
      "name": "sol-trace-grouped-gemm-fp8-fp4-m-contiguous-g4-n4096-k2048-1db2e52d",
      "title": "deepgemm_m_grouped_fp8_fp4_contiguous_g4_n4096_k2048 · grouped_gemm_fp8_fp4_m_contiguous_g4_n4096_k2048"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "flashinfer-bench",
        "repository": "https://github.com/flashinfer-ai/flashinfer-bench"
      },
      "correctness": {
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        "comparator": "flashinfer_bench_eval"
      },
      "measurement": {
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        "primaryStatistic": "mean"
      },
      "comparability": {
        "family": "flashinfer_bench_trace"
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    },
    "metadata": {
      "name": "flashinfer-bench-trace",
      "title": "FlashInfer-Bench trace harness"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
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        "architecture": "unknown"
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          "version": "2.11.0+cu130"
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        "libraries": {
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        "cudaToolkit": "13.0"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-11-0-cu130-3-6-0-13-0",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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