audio model · whisper · Android
Can I run Whisper large-v3-turbo on Samsung Galaxy S24 Ultra?
Yes. Whisper large-v3-turbo runs on Samsung Galaxy S24 Ultra at int8 (~1.5 GB of ~8.5 GB usable).
Runs at int8 using ~1.5 GB of ~8.5 GB usable.
- Peak memory
- ~1.5 GB
- Usable on device
- ~8.5 GB
- Device memory
- 12 GB
- Quant
- int8
How to run it
Use whisper.cpp or faster-whisper at int8. It is light enough to run on CPU; a GPU just makes it faster.
- Type
- Speech to text
- Parameters
- 809M
- Peak memory
- ~1.5 GB at int8
- License
- MIT
- Memory
- 12 GB ram
- Usable for weights
- ~8.5 GB
- Power draw
- ~8 W
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
You could also run
Run Whisper large-v3-turbo on other hardware
FAQ
Can Samsung Galaxy S24 Ultra run Whisper large-v3-turbo?
Yes. Whisper large-v3-turbo runs on Samsung Galaxy S24 Ultra at int8 (~1.5 GB of ~8.5 GB usable).
How much memory does Whisper large-v3-turbo need?
Samsung Galaxy S24 Ultra has room to spare. At int8 the realistic peak is ~1.5 GB of memory.
What do I use to run Whisper large-v3-turbo locally?
Whisper large-v3-turbo runs in whisper.cpp or faster-whisper (among others). It runs on CPU, so no GPU is required.
Sources
- androidauthority.com
- comparigon.com
- github.com/a-ghorbani
- github.com/ggml-org
- github.com/google-ai-edge
- github.com/mlc-ai
- github.com/shubham0204
- github.com/SYSTRAN
- github.com/Vali-98
- gsmarena.com/samsung_galaxy_s24_ultra-12419.php
- gsmarena.com/samsung_galaxy_s24_ultra-12771.php
- gsmarena.com/samsung_galaxy_s24_ultra-review-2754p5.php
- huggingface.co/bartowski
- huggingface.co/openai
- layla-network.ai
VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-08-03. See methodology.