submission 5109
AMD FP8 blockwise GEMM · k = 7168 · m = 1024 · n = 1536 · seed = 8135 · fp32/fp8_e4m3fnuz · run 01a006cc-634a…
●passedReported evidence
Not re-observed recently.
Primary measurement
656.6µsmean of 94
Rank 91 in its comparison group · source-native comparison · observed 2025-04-19
best ns 648381 · mean ns 656556.9787234042 · leaderboard score s 0.0005506028562703651
Identity
implementationsubmission 5109
projectKernelBot user 160
revisionsubmission-5109
workloadk = 7168 · m = 1024 · n = 1536 · seed = 8135 · fp32/fp8_e4m3fnuz
comparison keysha256:3017ab1685c55880…
sourceGPU MODE KernelBot
external idsubmission/5109/benchmark/0
sha256:413dfa8378baebd4aef2573…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k7168
m1024
n1536
seed8135
afp8_e4m3fnuz [1024, 7168]
bfp8_e4m3fnuz [1536, 7168]
a_scalefp32 [1024, 56]
b_scalefp32 [12, 56]
definition comparatorkernelbot_eval
Measurements
latency · max678.6 µs · n=94
latency · mean656.6 µs · n=94
latency · min648.4 µs · n=94
latency · std6.32 µs · n=94
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": 94,
"latencyNs": {
"mean": 656557,
"maximum": 678573,
"minimum": 648381
},
"primaryStatistic": "mean"
},
"observedAt": "2025-04-19T07:53:21.380Z",
"measurements": [
{
"unit": "ns",
"value": 6315.126663316896,
"metric": "latency",
"statistic": "std",
"sampleCount": 94
}
],
"sourceNative": {
"source": "gpumode-kernelbot",
"metrics": {
"best_ns": 648381,
"mean_ns": 656556.9787234042,
"leaderboard_score_s": 0.0005506028562703651
},
"benchmark": "amd-fp8-mm/0",
"externalId": "submission/5109"
},
"protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
"workloadDigest": "sha256:77311ba07b5660366a97d74c666691e85081f02f0d038b6e8ac15f6a06824417",
"environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
"implementationDigest": "sha256:e204ada0f19868d0f1c6e040f45a183442a96d1097b4aa708ff5c953859dbcbe"
},
"metadata": {
"name": "kernelbot-5109-k7168-m1024-n1536-seed8135",
"title": "amd-fp8-mm · submission 5109 · case 0",
"labels": {
"torch": "2.8.0.dev20250418+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