Not all YOLO versions are equal for gaming. Speed matters more than academic accuracy benchmarks. Here's what actually works best in 2026.
Speed vs Accuracy
In gaming, you need inference under 15ms to maintain smooth aim. Academic benchmarks test on COCO datasets at 640px — irrelevant for game detection where 320px is common and targets are large.
Our Recommendation
- YOLOv8 Nano (320px): Best balance — fast inference, good accuracy, widely trained models available
- YOLOv11 Nano: Slightly better accuracy, similar speed to v8
- YOLOv5 Nano: Oldest but still reliable, many community models exist
- YOLOv12: Attention-based, better long-range detection but slower
- YOLOv10: Built-in NMS (no post-processing needed), fastest end-to-end
Skyrant Supports All of Them
You don't have to choose one version forever. Skyrant auto-detects any YOLO model from v5 to v26 — load whichever works best for your game. Resolution, format, precision, and tensor names are all auto-detected.