submission 32127
AMD FP8 blockwise GEMM · k = 7168 · m = 1024 · n = 576 · seed = 12346 · fp32/fp8_e4m3fnuz · run 01a006cb-4dd9…
●passedReported evidence
Not re-observed recently.
Primary measurement
72.4µsmean of 100
Rank 23 in its comparison group · source-native comparison · observed 2025-06-15
best ns 70396 · mean ns 72367.89 · leaderboard score s 0.00016045048454886454
Identity
implementationsubmission 32127
projectKernelBot user 213
revisionsubmission-32127
workloadk = 7168 · m = 1024 · n = 576 · seed = 12346 · fp32/fp8_e4m3fnuz
comparison keysha256:b559cfe1984d58df…
sourceGPU MODE KernelBot
external idsubmission/32127/benchmark/2
sha256:b1ff2e5076af7d724ec7ef4…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k7168
m1024
n576
seed12346
afp8_e4m3fnuz [1024, 7168]
bfp8_e4m3fnuz [576, 7168]
a_scalefp32 [1024, 56]
b_scalefp32 [4, 56]
definition comparatorkernelbot_eval
Measurements
latency · max79.5 µs · n=100
latency · mean72.4 µs · n=100
latency · min70.4 µs · n=100
latency · std1.11 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": 72368,
"maximum": 79499,
"minimum": 70396
},
"primaryStatistic": "mean"
},
"observedAt": "2025-06-15T04:52:26.988Z",
"measurements": [
{
"unit": "ns",
"value": 1114.893879037441,
"metric": "latency",
"statistic": "std",
"sampleCount": 100
}
],
"sourceNative": {
"source": "gpumode-kernelbot",
"metrics": {
"best_ns": 70396,
"mean_ns": 72367.89,
"leaderboard_score_s": 0.00016045048454886454
},
"benchmark": "amd-fp8-mm/2",
"externalId": "submission/32127"
},
"protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
"workloadDigest": "sha256:9dd2ad9c824cf0d20653fa48dd02bb5dc5c216194de84601587527079bc2e3d8",
"environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
"implementationDigest": "sha256:e01185e04ceeac114eb02b2017a6606b14ecc4c59dc21ab7f58f1ba33266fb81"
},
"metadata": {
"name": "kernelbot-32127-k7168-m1024-n576-seed12346",
"title": "amd-fp8-mm · submission 32127 · case 2",
"labels": {
"torch": "2.8.0.dev20250613+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