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Documentation

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Language: Swift

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Framework

Core AI

Run AI models in your app on Apple silicon.

iOS 27.0+Beta iPadOS 27.0+Beta Mac Catalyst 27.0+Beta macOS 27.0+Beta tvOS 27.0+Beta visionOS 27.0+Beta watchOS 27.0+Beta

Overview

Core AI helps you build, run, and deploy AI models in your app. Designed with Apple silicon in mind, Core AI allows your app to use the latest model architectures and inference techniques across the CPU, GPU, and Neural Engine. The Swift API makes common tasks simple, while giving you more control over model specialization, caching, and inference performance when needed.

Image 1: An illustration showing AI models connecting to Apple devices.

Alongside the framework, Core AI includes additional tools for model preparation, integration, and debugging. Prepare your models for Apple silicon with Core AI Optimization, then convert them into the .aimodel format with Core AI PyTorch Extensions. The Core AI Debugger app supports visualization and numeric debugging, letting you inspect model structure and trace tensor values directly back to your Python source code.

Core AI also integrates with Xcode and the developer toolchain. The Core AI debug gauge and Core AI instrument help you monitor and profile inference performance in your app. You can also compile models ahead of time with the coreai-build command-line tool.

If your app uses model types other than neural networks, such as decision trees or tabular feature engineering, see Core ML.

Topics

Essentials

Integrating on-device AI models in your app with Core AI

Power your app’s intelligent features with an on-device AI model.

struct AIModel

A specialized model for running inference on a device.

struct AIModelAsset

An unspecialized source model asset.

Inference

struct InferenceFunction

A function that performs inference on input values and produces output values.

struct InferenceFunctionDescriptor

A description of an inference function’s signature.

struct InferenceValue

A value that an inference function accepts as input or produces as output.

struct ImageDescriptor

A description of an image’s dimensions and pixel format.

class ComputeStream

A stream of work to be run asynchronously.

Multidimensional arrays

struct NDArray

A multidimensional array of scalar values used for model inference.

struct NDArrayDescriptor

A description of an array’s shape, scalar type, and memory layout expectations.

Configuration

Managing model specialization and caching

Configure model specialization, manage cached assets, and reduce your app’s storage footprint.

Compiling Core AI models ahead of time

Reduce on-device specialization time by compiling Core AI models at build time.

class AIModelCache

A cache that stores the specialized model artifacts for inference.

enum ComputeUnitKind

A type of hardware compute unit available for model inference.

struct SpecializationOptions

Debugging and performance

Inspecting, debugging, and profiling Core AI models

Investigate model behavior, monitor activity, and profile performance using the Core AI tools across Xcode and the Core AI Debugger app.

Errors

struct AssetError

An error that occurs during model asset operations.

Beta Software

This documentation contains preliminary information about an API or technology in development. This information is subject to change, and software implemented according to this documentation should be tested with final operating system software.

Learn more about using Apple's beta software

Current page is Core AI

Apple 1. Developer 2. Documentation

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