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ggerganov/whisper.cpp/ggml-tiny.en.bin

Whisper tiny (English) on iPhone

  • whisper.cpp
  • ggml
  • 39M params
  • ๐ŸŽ™๏ธ audio

How fast does Whisper tiny (English) run on iPhone?

Whisper tiny (English) 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 Whisper tiny (English) need?

The catalog budgets 500 MB of RAM and 80 MB of storage for the ggml build of Whisper tiny (English).

It runs on a memory-mapped backend, so the app checks it against the Metal working set rather than the stricter per-app limit. Weights are read from disk as needed, which keeps the measured footprint low.

Which iPhones can run Whisper tiny (English)?

Whisper tiny (English) runs on iPhones with 3โ€“4 GB of RAM or more, which is every iPhone that runs iOS 26.

RAMiPhonesPocket AI Lab
3โ€“4 GBiPhone 11, 11 Pro, 12, 12 mini, 13, 13 mini, SE (2nd and 3rd gen)โœ“ Runs
6 GBiPhone 12 Pro, 13 Pro, 14, 14 Plus, 14 Pro, 15, 15 Plusโœ“ Runs
8 GBiPhone 15 Pro, 16, 16 Plus, 16 Pro, 16e, 17, 17eโœ“ Runs
12 GBiPhone 17 Pro, 17 Pro Max, iPhone Airโœ“ Runs

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 Whisper tiny (English) do in Pocket AI Lab?

It transcribes speech. Record a voice message in the chat and Whisper tiny (English) turns it into text on the phone, then the text goes to whichever chat model you're using.

How do I install Whisper tiny (English)?

Open the Models tab in Pocket AI Lab and tap Whisper tiny (English). The app checks it against your phone's memory, downloads 80 MB from Hugging Face and it's ready for offline chat.