Hardware · Android
What AI models can the Other Android device (12 GB RAM) run?
- RAM
- 12.0 GB
- One app can use
- 7.2 GB
- Memory bandwidth
- 34 GB/s
- FP16 compute
- 1.0 TFLOPS
- Released
- 2022
A model runs in RAM (the 12.0 GB here), not in storage. Storage only keeps the downloaded files, and even the smallest size has room for several. Android lets one app hold only part of the RAM before it closes the app, so we plan around 7.2 GB; a model bigger than that won’t run. Phone apps such as PocketPal AI download a model once, then run it with no connection.
More about this hardware
| Maker | Android |
|---|---|
| Type | Mobile device (system on a chip) |
| App share of memory | 60% (what one app can typically hold before the system closes it) |
| Chip | Mid-range Android chip |
| Bandwidth figure | 34.1 GB/s, estimated, see the note below |
Apps that run models well on the Other Android device (12 GB RAM)
Android
Best LLMs for the Other Android device (12 GB RAM)
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | Ling 3.0 Tiny (8B-A1.3B) | Q4_K_M | 5.6 GB | 22.0 tok/s | Runs well |
| 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | MiMo V2.6 Distill Qwen 9B | Q4_K_M | 6.6 GB | 3.3 tok/s | Slowtight fit |
| 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | SenseNova Loop 9B Preview | Q4_K_M | 7.0 GB | 3.2 tok/s | Slowtight fit |
| 73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | Ornith 1.5 9B | Q4_K_M | 6.8 GB | 3.2 tok/s | Slowtight fit |
| 72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. | Qwen3.5 9B | Q4_K_M | 6.8 GB | 3.2 tok/s | Slowtight fit |
| 71Great quality (A) · 71 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. | Ornith 1.0 9B | Q4_K_M | 6.8 GB | 3.2 tok/s | Slowtight fit |
| 70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. | TMax 9B | Q4_K_M | 6.3 GB | 3.4 tok/s | Slowtight fit |
| 69Good quality (B) · 69 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. | Gemma 4 12B | Q3_K_M | 7.1 GB | 3.3 tok/s | Slowtight fit |
| 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. | Mellum2.1 Thinking (12B-A2.5B) | Q3_K_M | 6.7 GB | 15.2 tok/s | Runs welltight fit |
| 67Good quality (B) · 67 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. | K2 Horizon 7B | Q3_K_M | 6.2 GB | 4.4 tok/s | Slowtight fit |
| 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. | UI-Mate 9B | Q4_K_M | 6.6 GB | 3.3 tok/s | Slowtight fit |
| 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. | UI-Venus 2 9B | Q4_K_M | 6.6 GB | 3.3 tok/s | Slowtight fit |
Best Image models for the Other Android device (12 GB RAM)
None of the image models in our catalog fit in this much memory.
Best Video models for the Other Android device (12 GB RAM)
None of the video models in our catalog fit in this much memory.
Best Decision models for the Other Android device (12 GB RAM)
None of the decision models in our catalog fit in this much memory.
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.