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gpt-5-2025-08-07 / cudaa2d8ca

MoE FP8 block scale ds routing topk8 ng8 kg4 e32 h7168 i2048 · seq_len = 901 · bf16/fp32/fp8_e4m3 · run 01a02032-596c…
●passedReported evidence

Not re-observed recently.

Primary measurement
16.2msmean

Rank 1 in its comparison group · source-native comparison · observed 2025-10-16

1.38× reference

Identity
implementationgpt-5-2025-08-07_cuda_a2d8ca
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadseq_len = 901 · bf16/fp32/fp8_e4m3
comparison keysha256:1209805972bb7930…
sourceFlashInfer-Bench
external idtrace/gpt-5-2025-08-07_cuda_a2d8ca/1a4c6ba1-3cd2-4d7d-b716-84f2d52b69fc
sha256:c40f9c8cc53cf67bff64153…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.00006103515625
max relative error0.1899205446243286
resultpassed

Workload

seq_len901
routing_biasbf16 [256]
gemm1_weightsfp8_e4m3 [32, 4096, 7168]
gemm2_weightsfp8_e4m3 [32, 7168, 2048]
hidden_statesfp8_e4m3 [901, 7168]
routing_logitsfp32 [901, 256]
gemm1_weights_scalefp32 [32, 32, 56]
gemm2_weights_scalefp32 [32, 56, 16]
hidden_states_scalefp32 [56, 901]
definition comparatorsol_execbench_eval

Measurements

latency · mean16.2 ms

Protocol

harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)
cudaToolkit12.8
frameworkpytorch 2.8.0+cu128

Artifacts

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Canonical manifest

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 16223040
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T12:03:06.933Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.00006103515625,
        "maximumRelativeError": 0.1899205446243286
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 16.223040262858074,
          "speedup_factor": 1.3846378104072965,
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        },
        "benchmark": "moe_fp8_block_scale_ds_routing_topk8_ng8_kg4_e32_h7168_i2048"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:426c7bd420cd4b26393c1ce9a20dea36086ad1b5d84dc08ec3f45fda3523152d",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:17a59015a553f958aa6ed224d10af90a5700205fe68519dbeaf081a7ebffb832"
    },
    "metadata": {
      "name": "sol-trace-moe-fp8-block-scale-ds-routing-topk8-ng8-kg4-e32-h7168-i2048-1a4c6ba1",
      "title": "gpt-5-2025-08-07_cuda_a2d8ca · moe_fp8_block_scale_ds_routing_topk8_ng8_kg4_e32_h7168_i2048"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "flashinfer-bench",
        "repository": "https://github.com/flashinfer-ai/flashinfer-bench"
      },
      "correctness": {
        "reference": "definition reference implementation",
        "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"
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  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
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        "architecture": "unknown"
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      "software": {
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        },
        "cudaToolkit": "12.8"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-8-0-cu128-3-4-0-12-8",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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