Using NNAPI and CoreML with ONNX Runtime Mobile
- Usage of NNAPI on Android platforms is via the NNAPI Execution Provider (EP). 
- See the NNAPI Execution Provider documentation for more details.
 
 - Usage of CoreML on iOS and macOS platforms is via the CoreML EP. 
- See the CoreML Execution Provider documentation for more details.
 
 
The pre-built ONNX Runtime Mobile package includes the NNAPI EP on Android, and the CoreML EP on iOS.
If performing a custom build of ONNX Runtime, support for the NNAPI EP or CoreML EP must be enabled when building.
Create a minimal build with NNAPI EP or CoreML EP support
Please see the instructions for setting up the Android or iOS environment required to build. The Android build can be cross-compiled on Windows or Linux. The iOS/macOS build must be performed on a mac machine.
Once you have all the necessary components setup, follow the instructions to create the custom build, with the following changes:
- Replace 
--minimal_buildwith--minimal_build extendedto enable support for execution providers that dynamically create kernels at runtime, which is required by the NNAPI EP and CoreML EP. - Add 
--use_nnapito include the NNAPI EP in the build - Add 
--use_coremlto include the CoreML EP in the build 
Example build commands with the NNAPI EP enabled:
- Windows example: 
<ONNX Runtime repository root>.\build.bat --config MinSizeRel --android --android_sdk_path D:\Android --android_ndk_path D:\Android\ndk\21.1.6352462\ --android_abi arm64-v8a --android_api 29 --cmake_generator Ninja --minimal_build extended --use_nnapi --disable_ml_ops --disable_exceptions --build_shared_lib --skip_tests --include_ops_by_config <config file from model conversion> - Linux example: 
<ONNX Runtime repository root>./build.sh --config MinSizeRel --android --android_sdk_path /Android --android_ndk_path /Android/ndk/21.1.6352462/ --android_abi arm64-v8a --android_api 29 --minimal_build extended --use_nnapi --disable_ml_ops --disable_exceptions --build_shared_lib --skip_tests --include_ops_by_config <config file from model conversion> 
Next: Limitations