submission 32127
AMD FP8 blockwise GEMM · k = 256 · m = 6144 · n = 7168 · seed = 764243 · fp32/fp8_e4m3fnuz · run 01a006cb-5190…
●passedReported evidence
Not re-observed recently.
Primary measurement
141.4µsmean of 100
Rank 69 in its comparison group · source-native comparison · observed 2025-06-15
best ns 136498 · mean ns 141445.75 · leaderboard score s 0.00016045048454886454
Identity
implementationsubmission 32127
projectKernelBot user 213
revisionsubmission-32127
workloadk = 256 · m = 6144 · n = 7168 · seed = 764243 · fp32/fp8_e4m3fnuz
comparison keysha256:05764edf46395c2f…
sourceGPU MODE KernelBot
external idsubmission/32127/benchmark/12
sha256:502b721ce540d6669454b70…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k256
m6144
n7168
seed764243
afp8_e4m3fnuz [6144, 256]
bfp8_e4m3fnuz [7168, 256]
a_scalefp32 [6144, 2]
b_scalefp32 [56, 2]
definition comparatorkernelbot_eval
Measurements
latency · max146.5 µs · n=100
latency · mean141.4 µs · n=100
latency · min136.5 µs · n=100
latency · std1.87 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": 141446,
"maximum": 146457,
"minimum": 136498
},
"primaryStatistic": "mean"
},
"observedAt": "2025-06-15T04:52:26.988Z",
"measurements": [
{
"unit": "ns",
"value": 1873.8812224521025,
"metric": "latency",
"statistic": "std",
"sampleCount": 100
}
],
"sourceNative": {
"source": "gpumode-kernelbot",
"metrics": {
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"mean_ns": 141445.75,
"leaderboard_score_s": 0.00016045048454886454
},
"benchmark": "amd-fp8-mm/12",
"externalId": "submission/32127"
},
"protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
"workloadDigest": "sha256:d96e77d3e6b5794ff7c753f0183c13aa258958f64511c1edd653a0e56c4e89a6",
"environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
"implementationDigest": "sha256:e01185e04ceeac114eb02b2017a6606b14ecc4c59dc21ab7f58f1ba33266fb81"
},
"metadata": {
"name": "kernelbot-32127-k256-m6144-n7168-seed764243",
"title": "amd-fp8-mm · submission 32127 · case 12",
"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