PostEDA-Bench (Proposer-Critic) - DRC-Reasoning: leaderboard
Practical design-rule repair set of PostEDA-Bench (Liu et al., University of Minnesota, 2026): a proposer-critic agent pair (a critic approves each action before it is dispatched) fixes violations that remain after full OpenROAD or commercial place-and-route flows and built-in repair, which need geometric reasoning and one to several layout edits. Success rate in percent over 30 tasks, each the share of 5 temperature-0 runs that end DRC-clean within 8 agent actions; higher is better.
Metric: Success rate (%; 30 residual post-flow DRC repair tasks, mean of 5 temperature-0 runs per task, Proposer-Critic agent). Source: arxiv.org. Saturation forecast: Around August 2027. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemma 4 31B (IT) | 31.33 | #343 |
| 2 | Qwen 3.5 122B A10B | 17.33 | #329 |
| 3 | GPT-5 | 15.99 | #163 |
| 4 | Qwen 3.5 9B | 8.66 | #803 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=posteda-bench-proposer-critic-drc-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-12.