submission 33220
AMD FP8 blockwise GEMM · k = 7168 · m = 1024 · n = 512 · seed = 6563 · fp32/fp8_e4m3fnuz · run 01a006cb-420b…
●passedReported evidence
Not re-observed recently.
Primary measurement
106.3µsmean of 100
Rank 45 in its comparison group · source-native comparison · observed 2025-07-11
best ns 104941 · mean ns 106294.56 · leaderboard score s 0.00015014270892113894
Identity
implementationsubmission 33220
projectKernelBot user 346
revisionsubmission-33220
workloadk = 7168 · m = 1024 · n = 512 · seed = 6563 · fp32/fp8_e4m3fnuz
comparison keysha256:9f134e137f46d0cf…
sourceGPU MODE KernelBot
external idsubmission/33220/benchmark/7
sha256:74b4c1c029e320673f419b6…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k7168
m1024
n512
seed6563
afp8_e4m3fnuz [1024, 7168]
bfp8_e4m3fnuz [512, 7168]
a_scalefp32 [1024, 56]
b_scalefp32 [4, 56]
definition comparatorkernelbot_eval
Measurements
latency · max112.1 µs · n=100
latency · mean106.3 µs · n=100
latency · min104.9 µs · n=100
latency · std1.17 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": 106295,
"maximum": 112085,
"minimum": 104941
},
"primaryStatistic": "mean"
},
"observedAt": "2025-07-11T15:40:07.804Z",
"measurements": [
{
"unit": "ns",
"value": 1174.1272135230297,
"metric": "latency",
"statistic": "std",
"sampleCount": 100
}
],
"sourceNative": {
"source": "gpumode-kernelbot",
"metrics": {
"best_ns": 104941,
"mean_ns": 106294.56,
"leaderboard_score_s": 0.00015014270892113894
},
"benchmark": "amd-fp8-mm/7",
"externalId": "submission/33220"
},
"protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
"workloadDigest": "sha256:037707a2ad89d4be894f4fedfdc73541006b294a7815461e508865d002e73b52",
"environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
"implementationDigest": "sha256:f642986e4075a892363eb05d8da11fb56ba4346cc8ee0cf22bc4d9d3d300fd3f"
},
"metadata": {
"name": "kernelbot-33220-k7168-m1024-n512-seed6563",
"title": "amd-fp8-mm · submission 33220 · case 7",
"labels": {
"torch": "2.9.0.dev20250706+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": {
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"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