Skip to content
KernelIndex
Search⌘K

gemini-2.5-pro / cuda208a66

RMSNorm h1536 · batch_size = 14521 · bf16 · run 01a02032-55ab…
●passedReproduction-ready evidence

Not re-observed recently.

Primary measurement
41.5µsmean

Rank 3 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

20.92× reference

Identity
implementationgemini-2.5-pro_cuda_208a66
projectgemini-2.5-pro
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadbatch_size = 14521 · bf16
comparison keysha256:72755577dfa9fca9…
sourceFlashInfer-Bench
external idtrace/gemini-2.5-pro_cuda_208a66/1a428793-51ec-4eba-9d7c-9b7032d059eb
sha256:cfe2a0a43b75a1d8910441d…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.03125
max relative error0.007751937955617905
resultpassed

Workload

batch_size14521
weightbf16 [1536]
hidden_statesbf16 [14521, 1536]
definition comparatorsol_execbench_eval

Measurements

latency · mean41.5 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

logssha256:d7be3a54fee137ee… · text/plain · unavailable

Replications and notes

No attestations yet.

Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.

Add a reproduction or note
I

Published under your account name. Community attestations never change the evidence level; a maintainer can hide abuse.

Canonical manifest

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 41510
        },
        "primaryStatistic": "mean"
      },
      "evidence": {
        "logs": {
          "uri": "kernelindex:artifact/sha256:d7be3a54fee137ee6338ae8fee9df33b29b9f04c7b18e9201c4941c2c1eb0ed9",
          "digest": "sha256:d7be3a54fee137ee6338ae8fee9df33b29b9f04c7b18e9201c4941c2c1eb0ed9"
        }
      },
      "observedAt": "2025-10-16T12:13:45.766Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.03125,
        "maximumRelativeError": 0.007751937955617905
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.04150973404521454,
          "speedup_factor": 20.917875802777495,
          "reference_latency_ms": 0.8682954613641224
        },
        "benchmark": "rmsnorm_h1536"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:14e56dddba71c6c5d48c75eada1fbb1151652aa86ecf42ac64af8a909a6921a2",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:466acddda77d67cf70ed7558a73f65eca25ae24fd55a61ecf06c29b179d4af35"
    },
    "metadata": {
      "name": "sol-trace-rmsnorm-h1536-1a428793",
      "title": "gemini-2.5-pro_cuda_208a66 · rmsnorm_h1536"
    },
    "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"
  }
}
Cite this record (permalink, digest, access date)
Report an issue with this run

A maintainer reviews every report. If accepted, the record is retracted or superseded; its history stays visible.

Published 2026-08-20 · FlashInfer-Bench · Apache-2.0All results for RMSNorm h1536 →JSON