How fast does Qwen 2.5 14B run on iPhone?
Qwen 2.5 14B hasn't been measured on the reference iPhone yet, so there's no speed figure for it here.
You can measure it on your own phone with Model Benchmark in the app. It runs the same protocol as the numbers on the benchmarks page.
How much memory and storage does Qwen 2.5 14B need?
The catalog budgets 8.2 GB of RAM and 8.5 GB of storage for the 4bit build of Qwen 2.5 14B.
Its backend copies weights into the app's memory, so the app checks it against the per-app limit iOS enforces. On a 6 GB iPhone that limit is much lower than 6 GB.
Which iPhones can run Qwen 2.5 14B?
Qwen 2.5 14B needs more memory than iPhones give a single app today, so it's meant for iPads with more RAM.
| RAM | iPhones | Pocket AI Lab |
|---|---|---|
| 3–4 GB | iPhone 11, 11 Pro, 12, 12 mini, 13, 13 mini, SE (2nd and 3rd gen) | Not measured yet |
| 6 GB | iPhone 12 Pro, 13 Pro, 14, 14 Plus, 14 Pro, 15, 15 Plus | ✗ Too big |
| 8 GB | iPhone 15 Pro, 16, 16 Plus, 16 Pro, 16e, 17, 17e | ✗ Too big |
| 12 GB | iPhone 17 Pro, 17 Pro Max, iPhone Air | ✗ Too big |
Based on the memory budgets the app measures on each class of iPhone (October 2026). Before downloading, the app checks your exact phone and only offers what fits.
What can Qwen 2.5 14B do in Pocket AI Lab?
It's a text model for chat, drafting, summaries and quick questions, fully offline once downloaded.
Other Qwen models in the catalog
- Qwen 2.5 3B, MLX, 4bit, 26.3 tok/s
- Qwen2-VL 7B (Vision), MLX, 4bit, 11.6 tok/s (throttled)
- Qwen 3.5 0.8B (GGUF, Vision), llama.cpp, Q4_K_M, 73.7 tok/s
- Qwen 3.5 2B (GGUF, Vision), llama.cpp, Q4_K_M, 36.6 tok/s
- Qwen 3.5 4B (GGUF, Vision), llama.cpp, Q4_K_M, 14.7 tok/s (throttled)
- Qwen2.5 1.5B (Core ML), Core ML, int8-W8A16, 3.0 tok/s
How do I install Qwen 2.5 14B?
Open the Models tab in Pocket AI Lab and tap Qwen 2.5 14B. The app checks it against your phone's memory, downloads 8.5 GB from Hugging Face and it's ready for offline chat.