AI0-001 AI Infrastructure and Technologies Practice Question
A company is deploying a computer vision model to smartphones for offline object detection. The model was trained in PyTorch. Which format should they use for deployment on iOS devices?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Core ML
Core ML is Apple's framework for on-device machine learning on iOS, and PyTorch models can be converted to Core ML format.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
TorchScript
Why it's wrong here
TorchScript is a serialization format for PyTorch, but iOS does not natively support it.
- ✗
ONNX
Why it's wrong here
ONNX is an interoperable format but not optimized for iOS; additional conversion is needed.
- ✓
Core ML
Why this is correct
Core ML is Apple's native format for iOS, providing optimized inference.
- ✗
TensorFlow Lite
Why it's wrong here
TensorFlow Lite is primarily for Android and embedded devices, though it can run on iOS but is not native.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.