Benchmark Radar
AI BENCHMARK PROFILE

OmniLayout

Industrial & EngineeringMultimodal Perception

OmniLayout evaluates language models on printed-circuit-board (PCB) layout placement reasoning under geometric, routing, and connectivity constraints, with four tasks including geometric placement, routability-aware placement, electrical functionality, and tool-augmented agentic reasoning.

Released
2026-07-03
Readiness
Paper only
Primary field
Industrial & Engineering

Why it matters

The benchmark addresses the gap in evaluating LLMs for practical electronic design automation (EDA) tasks, specifically constraint-aware geometric reasoning in PCB layout, which is critical for real-world design workflows.

Motivation

Recent large language models (LLMs) have demonstrated remarkable progress in 3D spatial reasoning, spatial grounding, and fine-grained geometric understanding.

Primary resources

Benchmark Radar records only publicly supported details and links back to primary sources for verification.