Run 01a006cd · KernelIndex

Primary measurement

699.8msmean of 4

Rank 80 in its comparison group · source-native comparison · observed 2025-05-18

Compare with #1 →

best ns 698108534 · mean ns 699802426.5 · leaderboard score s 1.3919055786805627

Identity

implementationamd-mixture-of-experts · submission 23963

projectKernelBot user 7

revisionsubmission-23963

workloadbs = 1 · seed = 9371 · seqlen = 2048 · dexpert = 2048 · dhidden = 7168 · nroutedexperts = 32 · nsharedexperts = 1 · nexpertspertoken = 4 · fp16

comparison keysha256:a11fec553fc287b0…

sourceGPU MODE KernelBot

external idsubmission/23963/benchmark/0

sha256:89e607114d4a588c8b81b60…

Correctness

Marked passed by the source; the correctness policy was not published.

Workload

bs1

seed9371

seqlen2048

dexpert2048

dhidden7168

nroutedexperts32

nsharedexperts1

nexpertspertoken4

inputfp16 [1, 2048, 7168]

definition comparatorkernelbot_eval

Measurements

latency · max701.1 ms · n=4

latency · mean699.8 ms · n=4

latency · min698.1 ms · n=4

latency · std1.29 ms · n=4

Protocol

harnessreference-kernels eval.py

timerwall_clock

primaryStatisticmean

correctnessReferenceproblem reference implementation

comparabilityFamilygpumode_kernelbot

Environment

gpuAMD Instinct MI300X (gfx942)

Artifacts

No artifacts published with this run.

Replications and notes

No attestations yet.

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

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 4,
        "latencyNs": {
          "mean": 699802427,
          "maximum": 701106645,
          "minimum": 698108534
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-05-18T03:43:01.243Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 1292786.7709354341,
          "metric": "latency",
          "statistic": "std",
          "sampleCount": 4
        }
      ],
      "sourceNative": {
        "source": "gpumode-kernelbot",
        "metrics": {
          "best_ns": 698108534,
          "mean_ns": 699802426.5,
          "leaderboard_score_s": 1.3919055786805627
        },
        "benchmark": "amd-mixture-of-experts/0",
        "externalId": "submission/23963"
      },
      "protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
      "workloadDigest": "sha256:83ec2927d923cdd5616c8c43cb3970963f0fdec0c720c7a921b72f9ae73a4973",
      "environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
      "implementationDigest": "sha256:351ccefc44c43ba628d88a32f48a3c99891be5342bc06dc886ca2a85c3c588c4"
    },
    "metadata": {
      "name": "kernelbot-23963-bs1-dexpert2048-dhidden7168-nexpertspertoken4-nroutedexperts32-nsharedexperts1-seed9",
      "title": "amd-mixture-of-experts · submission 23963 · case 0",
      "labels": {
        "torch": "2.8.0.dev20250516+rocm6.3",
        "platform": "Linux-5.15.0-136-generic-x86_64-with-glibc2.35"
      }
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "reference-kernels eval.py",
        "repository": "https://github.com/gpu-mode/reference-kernels"
      },
      "correctness": {
        "reference": "problem reference implementation",
        "comparator": "kernelbot_eval"
      },
      "measurement": {
        "timer": "wall_clock",
        "primaryStatistic": "mean"
      },
      "comparability": {
        "notes": "Per-case wall-clock statistics as published in the KernelBot dataset. Comparable only within one leaderboard problem and GPU type; runner software versions ride each run's labels.",
        "family": "gpumode_kernelbot"
      }
    },
    "metadata": {
      "name": "gpumode-kernelbot-eval",
      "title": "GPU MODE KernelBot evaluation harness"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "amd",
        "product": "AMD Instinct MI300X",
        "architecture": "gfx942"
      },
      "software": {}
    },
    "metadata": {
      "name": "gpumode-kernelbot-amd-instinct-mi300x",
      "title": "KernelBot runner · AMD Instinct MI300X"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}

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Published 2026-08-15 · GPU MODE KernelBot · June 9 Researcher Reciprocity License v1.0All results for AMD DeepSeek-style MoE layer →JSON