submission 3700
AMD FP8 blockwise GEMM · k = 7168 · m = 1024 · n = 512 · seed = 6563 · fp32/fp8_e4m3fnuz · run 01a006cc-168d…
●passedReported evidence
Not re-observed recently.
Primary measurement
349.8µsmean of 3
Rank 85 in its comparison group · source-native comparison · observed 2025-04-15
best ns 347644 · mean ns 349838 · leaderboard score s 0.0008541964600790092
Identity
implementationsubmission 3700
projectKernelBot user 3
revisionsubmission-3700
workloadk = 7168 · m = 1024 · n = 512 · seed = 6563 · fp32/fp8_e4m3fnuz
comparison keysha256:9f134e137f46d0cf…
sourceGPU MODE KernelBot
external idsubmission/3700/benchmark/7
sha256:c8376f927cf0163291e121f…
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 · max352.2 µs · n=3
latency · mean349.8 µs · n=3
latency · min347.6 µs · n=3
latency · std2.26 µs · n=3
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": 3,
"latencyNs": {
"mean": 349838,
"maximum": 352166,
"minimum": 347644
},
"primaryStatistic": "mean"
},
"observedAt": "2025-04-15T21:37:05.105Z",
"measurements": [
{
"unit": "ns",
"value": 2263.9761482842528,
"metric": "latency",
"statistic": "std",
"sampleCount": 3
}
],
"sourceNative": {
"source": "gpumode-kernelbot",
"metrics": {
"best_ns": 347644,
"mean_ns": 349838,
"leaderboard_score_s": 0.0008541964600790092
},
"benchmark": "amd-fp8-mm/7",
"externalId": "submission/3700"
},
"protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
"workloadDigest": "sha256:037707a2ad89d4be894f4fedfdc73541006b294a7815461e508865d002e73b52",
"environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
"implementationDigest": "sha256:816a98a2440817b9672068a829b731752af7d0e1d926065441ad17209bd6a61c"
},
"metadata": {
"name": "kernelbot-3700-k7168-m1024-n512-seed6563",
"title": "amd-fp8-mm · submission 3700 · case 7",
"labels": {
"torch": "2.8.0.dev20250414+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