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Real-time object detection on iPhone with YOLO26

DEV Community: machinelearning·Daisuke Majima·5 months ago
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What is YOLO26

The latest object detection model, released by Ultralytics in January 2026. Compared to the previous-generation YOLO11, CPU inference is up to 43% faster , greatly improving its practicality on edge devices.

Its biggest feature is end-to-end inference with no NMS . The Non-Maximum Suppression (NMS) post-processing step that used to be mandatory in YOLO is gone — the model outputs the final detections directly.

Model mAP CPU inference Params

YOLO26n 40.9 38.9ms 2.5M

YOLO26s 48.6 63.3ms 9.2M

YOLO26m 53.1 155ms 18.7M

Why run it on iPhone

Real-time inference : 30+ FPS using the Neural Engine

Privacy : data never leaves the device

Offline : works without a network

Low latency : no server round-trip, so results come back instantly

Preparing the CoreML model

Option 1: Download a converted model

You can grab a converted model from the CoreML-Models repository.

YOLO26s (18MB)

Option 2: Convert it yourself

pip install ultralytics coremltools == 8.1

python -c " from ultralytics import…

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