Core ML is optimized for on-device performance of a broad variety of model types by leveraging Apple hardware and minimizing memory footprint and power consumption.
Experience more with Core ML
Run models fully on-device
Core ML models run strictly on the user’s device and remove any need for a network connection, keeping your app responsive and your users’ data private.
Run advanced neural networks
Core ML supports the latest models, such as cutting-edge neural networks designed to understand images, video, sound, and other rich media.
With Core ML Model Deployment, you can easily distribute models to your app using CloudKit.
Convert models to Core ML
Models from libraries like TensorFlow or PyTorch can be converted to Core ML using Core ML Converters more easily than ever before.
Personalize models on-device
Models bundled in apps can be updated with user data on-device, helping models stay relevant to user behavior without compromising privacy.
Xcode supports model encryption enabling additional security for your machine learning models.