Apple
Apple Core ML Embeddings
On-device, privacy-focused embeddings for Apple platforms.
Optimized for Apple hardware (CPU/GPU/ANOn-device processing for privacyLow latency inferenceIntegrated into Apple ecosystem
Today's score
85.0
Where it ranks today
Best for / Not great for
Best for
- iOS/macOS applications requiring semantic understanding
- Privacy-sensitive search features
- Personalized on-device experiences
- Offline embedding generation
Not great for
- Server-side or cross-platform applications
- Training custom embedding models
- General-purpose cloud-based RAG
Why it ranks here
Apple's push for on-device AI makes its Core ML embeddings increasingly relevant for developers within the Apple ecosystem. While limited to Apple platforms, its privacy and performance advantages for mobile applications are significant.
30-day trend
Score breakdown
Search trends86
Benchmarks84
Developer buzz88
News mentions87
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Developer Access
Included with Apple Developer Program
Free
- Access to Core ML tools
- On-device model deployment
- Privacy-focused
- Optimized for Apple hardware