How Fast Can Your iPhone Run LLMs? A Deep Dive with AIBench
With Apple Intelligence and open-source models (DeepSeek-R1, Llama 3) exploding, running Large Language Models (LLMs) locally on phones is reality. But how big a model can your device handle? How fast is it? Will it overheat?
You need a professional benchmarking tool: AIBench - Test Speed.
Why Run Local Models?
- Privacy: Data stays local; nothing hits the cloud.
- Offline Use: AI assistance on planes or subways.
- Low Latency: No network wait times.
How to Benchmark with AIBench
AIBench is designed for iOS (iPhone 15 Pro+ recommended) with Metal acceleration.
Step 1: Select a Model
AIBench supports architectures like Qwen, Llama, and DeepSeek. Choose a quantized version (e.g., 7B) fitting your RAM.
Step 2: Run Benchmark
Start the test. The app simulates real tasks: Translation, Generation, Summarization. Watch these metrics:
- Token/s: Fluency. >15 token/s is usually smooth.
- Time to First Token: Responsiveness.
- Memory Usage: Avoiding crashes due to OOM.
Step 3: Stress Test & Thermals
Run multiple loops. AIBench visualizes performance curves to show if thermal throttling degrades inference speed over time.
Conclusion
For developers, tech enthusiasts, or privacy advocates, AIBench is essential for exploring mobile AI. Download now and benchmark your iPhone!
