An iOS app to evaluate TFLite models. This is mainly for running different evaluation tasks on iOS. Right now it only supports evaluating the inference difference between cpu and delegates.

The app reads evaluation parameters from a JSON file named evaluation_params.json in its evaluation_data directory. Any downloaded models for evaluation should also be placed in evaluation_data directory.

The JSON file specifies the name of the model file and other evaluation parameters like number of iterations, number of threads, delegate name. The default values in the JSON file are for the Mobilenet_v2_1.0_224 model (tflite&pb).

Building / running the app

Follow the iOS build instructions to configure the Bazel workspace and .bazelrc file correctly.
Run build_evaluation_framework.sh script to build the evaluation framework. This script will build the evaluation framework targeting iOS arm64 and put it under TFLiteEvaluation/TFLiteEvaluation/Frameworks directory.
Update evaluation parameters in evaluation_params.json.
Change Build Phases -> Copy Bundle Resources and add the model file to the resources that need to be copied.
Ensure that Build Phases -> Link Binary With Library contains the Accelerate framework and TensorFlowLiteInferenceDiffC.framework.
Now try running the app. The app has a single button that runs the evaluation on the model and displays results in a text view below. You can also see the console output section in your Xcode to see more detailed information.