OmniSch - Symbol Detection: leaderboard

Metric: Symbol detection F1 (x100): ground-truth component symbols matched by the symbol matching score of Eq. 1 (class, name, value, structure and coarse position, no box overlap required) on the industrial-EDA (Real) schematics of the OmniSch held-out test split, the model converting each PCB schematic image into a spatially weighted netlist graph with one zero-shot prompt, predicted and reference nodes aligned by maximum-weight bipartite matching; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 9 models tracked.

Top models

#ModelScore
1Gemini 3.1 Pro (Preview)59
2Claude Sonnet 4.658.62
3Qwen 3.5 122B A10B55.84
4GPT-5.252.76
5Ministral 3 14B38.26
6GPT-5 Mini29.97
7Llama 4 Maverick25.27
8Qwen 3 VL 8B Instruct8.68

Interactive version: theaggregate.ai/benchmark?slug=omnisch-symbol-detection · How It Works · Data refreshed daily, snapshot 2026-10-07.