Zerg AI
Flux multi axis RoPE frequency computation · suite of 16 cases · mean latency · run 01a0352b-a6f1…
●passedReported evidence
Primary measurement
4.02µsmean
Rank 14 in its comparison group · source-native comparison · observed 2026-07-03
SOL 0.5717 · 1.41× reference · 11/16 cases faster
Identity
implementationZerg AI
projectZerg AI
revisionsubmission-17060
workloadsuite of 16 cases · mean latency
comparison keysha256:04cc53c63f0ea27c…
sourceNVIDIA SOL-ExecBench
external idsubmission/17060
sha256:e6fbf39e0f8bf6d71f72884…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
definition comparatorsol_execbench_eval
descriptionCorrectness must pass on every case in the SOL evaluation stack.
Measurements
latency · mean4.02 µs
Protocol
harnessSOL-ExecBench evaluation stack v1.0
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilysol_execbench_leaderboard
Environment
gpuNVIDIA B200 (sm_100)
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.
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Canonical manifest
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{
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"timing": {
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"observedAt": "2026-07-03T22:52:16.718Z",
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}Cite this record (permalink, digest, access date)
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Published 2026-08-24 · NVIDIA SOL-ExecBenchAll results for Flux multi axis RoPE frequency computation →JSON