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gpt-5 / tritonbfd137

RMSNorm h128 · batch_size = 49532 · bf16 · run 01a02032-5abe…
●passedReported evidence

Not re-observed recently.

Primary measurement
32.7µsmean

Rank 5 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

32.66× reference

Identity
implementationgpt-5_triton_bfd137
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadbatch_size = 49532 · bf16
comparison keysha256:bf1d7a2dd3fbad14…
sourceFlashInfer-Bench
external idtrace/gpt-5_triton_bfd137/d5201e02-7338-405c-9c4d-ff95a03a00cc
sha256:90df7dd594f20dc2e520868…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.015625
max relative error0.007692307699471712
resultpassed

Workload

batch_size49532
weightbf16 [128]
hidden_statesbf16 [49532, 128]
definition comparatorsol_execbench_eval

Measurements

latency · mean32.7 µs

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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Replications and notes

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 32718
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T12:11:05.821Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.015625,
        "maximumRelativeError": 0.007692307699471712
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.032718300731724576,
          "speedup_factor": 32.660729040777525,
          "reference_latency_ms": 1.0686035548735293
        },
        "benchmark": "rmsnorm_h128"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:07c800d2f07ce83cb489b2a31a0b088cf172f2236cda700778b02462843c4ed9",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:c55770a64a41eee2a6c36faecb076cf854373b3f0f473dd77a38d3a72876088a"
    },
    "metadata": {
      "name": "sol-trace-rmsnorm-h128-d5201e02",
      "title": "gpt-5_triton_bfd137 · rmsnorm_h128"
    },
    "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": {
        "timer": "harness_reported",
        "primaryStatistic": "mean"
      },
      "comparability": {
        "family": "flashinfer_bench_trace"
      }
    },
    "metadata": {
      "name": "flashinfer-bench-trace",
      "title": "FlashInfer-Bench trace harness"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA B200",
        "architecture": "unknown"
      },
      "software": {
        "framework": {
          "name": "pytorch",
          "version": "2.8.0+cu128"
        },
        "libraries": {
          "triton": "3.4.0"
        },
        "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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Published 2026-08-20 · FlashInfer-Bench · Apache-2.0All results for RMSNorm h128 →JSON