submission 30582
AMD FP8 blockwise GEMM · k = 7168 · m = 6144 · n = 1536 · seed = 6543 · fp32/fp8_e4m3fnuz · run 01a006cb-359e…
●passedReported evidence
Not re-observed recently.
Primary measurement
258.6µsmean of 100
Rank 20 in its comparison group · source-native comparison · observed 2025-06-02
best ns 245502 · mean ns 258647.82 · leaderboard score s 0.00013082894449406276
Identity
implementationsubmission 30582
projectKernelBot user 7
revisionsubmission-30582
workloadk = 7168 · m = 6144 · n = 1536 · seed = 6543 · fp32/fp8_e4m3fnuz
comparison keysha256:94c7135ff76c3088…
sourceGPU MODE KernelBot
external idsubmission/30582/benchmark/9
sha256:1e1575420f268808abc32f4…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k7168
m6144
n1536
seed6543
afp8_e4m3fnuz [6144, 7168]
bfp8_e4m3fnuz [1536, 7168]
a_scalefp32 [6144, 56]
b_scalefp32 [12, 56]
definition comparatorkernelbot_eval
Measurements
latency · max271.8 µs · n=100
latency · mean258.6 µs · n=100
latency · min245.5 µs · n=100
latency · std6.68 µs · n=100
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.
Add a reproduction or note
Canonical manifest
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{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"samples": 100,
"latencyNs": {
"mean": 258648,
"maximum": 271800,
"minimum": 245502
},
"primaryStatistic": "mean"
},
"observedAt": "2025-06-02T14:17:01.226Z",
"measurements": [
{
"unit": "ns",
"value": 6680.391454658532,
"metric": "latency",
"statistic": "std",
"sampleCount": 100
}
],
"sourceNative": {
"source": "gpumode-kernelbot",
"metrics": {
"best_ns": 245502,
"mean_ns": 258647.82,
"leaderboard_score_s": 0.00013082894449406276
},
"benchmark": "amd-fp8-mm/9",
"externalId": "submission/30582"
},
"protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
"workloadDigest": "sha256:006e0bcabaff048b9ca009169446189ecbfdedceeb04267df8ddd7978f4999fe",
"environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
"implementationDigest": "sha256:a4c37b21138c304e6931229725e187a06ff606aee0e95243db4b5ca61dd26c1c"
},
"metadata": {
"name": "kernelbot-30582-k7168-m6144-n1536-seed6543",
"title": "amd-fp8-mm · submission 30582 · case 9",
"labels": {
"torch": "2.8.0.dev20250601+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"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-15 · GPU MODE KernelBot · June 9 Researcher Reciprocity License v1.0All results for AMD FP8 blockwise GEMM →JSON