# MobileOne Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/mobileone
> Markdown URL: https://aitinkerers.org/technologies/mobileone.md
> Technology record last updated: 2026-03-06T18:13:19Z
> Generated: 2026-09-21T05:37:17Z

Apple's high-performance backbone achieves sub-1ms inference on iPhone 12 while maintaining 75.9% ImageNet top-1 accuracy.

MobileOne redefines on-device efficiency by using structural re-parameterization to decouple training-time complexity from inference-time speed. During deployment, the architecture collapses into a linear chain of standard 3x3 convolutions (zeroing out branch overhead). It clocks 10x faster than MobileViT on mobile hardware and outperforms EfficientNet-B0 in both latency and precision. This is the go-to choice for developers needing real-time computer vision without draining the battery or sacrificing model depth.

- Official technology site: https://github.com/apple/ml-mobileone
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Building Chessboard Recognition App with my daughter](https://toronto.aitinkerers.org/talks/rsvp_zTY6p1BvBBQ)

Snap That Piece is the over-the-board chess companion working on the edge with no internet connection. Built as a dad companion to help keep up with his daughter's supersonic speed progression at chess, it's a side project born out of passion. I will be presenting the process from start to finish. From creating the data acquisition and labelling pipeline with a custom labeling software all the way up to training, tuning hyperparameters, and deploying an app as a wrapper to the CoreML model on Apple devices. I will also show how to transition from popular proprietary Ultralytics YOLO to the open-source Roboflow RF-DETR model family.

- Event context: AI Tinkerers Toronto - April 2026 - hosted by Shopify — 2026-04-29 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_zTY6p1BvBBQ

## Related Technologies

- [ClearML](https://aitinkerers.org/technologies/clearml) ([Markdown](https://aitinkerers.org/technologies/clearml.md)) — 1 public demo
- [CoreML](https://aitinkerers.org/technologies/coreml) ([Markdown](https://aitinkerers.org/technologies/coreml.md)) — 2 public demos
- [Optuna](https://aitinkerers.org/technologies/optuna) ([Markdown](https://aitinkerers.org/technologies/optuna.md)) — 3 public demos
- [RF-DETR](https://aitinkerers.org/technologies/rf-detr) ([Markdown](https://aitinkerers.org/technologies/rf-detr.md)) — 1 public demo