Apple iPad mini (A20 Pro)

Hardware · Apple

What AI models can the Apple iPad mini (A20 Pro) run?

RAM
12.0 GB
Storage
128 GB – 512 GB
One app can use
7.2 GB
Memory bandwidth
115 GB/s
FP16 compute
3.0 TFLOPS
Released
2026
292 / 621 LLMs run Best: Nemotron 3.5 Bolt E4B 29 / 61 Image models run Best: FLUX.2 [klein] 4B 3 / 43 Video models run Best: LTX-Video 2B 0 / 70 Decision models run No iOS app

Every iPad mini (A20 Pro) has 12 GB of RAM, whatever its storage (128 GB, 256 GB or 512 GB). A model runs in RAM (the 12.0 GB here), not in storage. Storage (128 GB, 256 GB or 512 GB on this version) only keeps the downloaded files, and even the smallest size has room for several. iPadOS 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

MakerApple
TypeTablet (system on a chip)
App share of memory60% (what one app can typically hold before the system closes it)
ChipApple A20 Pro
RAM type12 GB (reported; Apple does not state it)
Versions soldmini (A20 Pro): 12 GB RAM with 128 GB, 256 GB or 512 GB
Bandwidth figure115.2 GB/s, estimated, see the note below
Note8.5-inch OLED, A20 Pro with a 7-core GPU (5-core CPU on 128 GB and 256 GB, 6-core on 512 GB). Ships 6 November 2026. RAM and bandwidth are assumed equal to the iPhone 18 Pro until measured.
Maker’s specificationswww.apple.com

Apps that run models well on the Apple iPad mini (A20 Pro)

iOS

  1. PocketPal AIRuns the model on the device itself, offline: download it once in the app.

For a typical model that fits in memory. Each model page picks the best app for that model on this hardware. All apps

Best LLMs for the Apple iPad mini (A20 Pro)

Quality Model Quant Memory Speed Runs
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. Nemotron 3.5 Bolt E4BNVIDIA Q4_K_M 5.6 GB 32.3 tok/s Runs great
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. Nanbeige4.2 3BBOSS Zhipin (Nanbeige) Q4_K_M 4.6 GB 34.9 tok/s Runs great
61Good quality (B) · 61 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E2BGoogle Q6_K 4.9 GB 43.8 tok/s Runs great
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E4BGoogle Q4_K_M 5.6 GB 32.3 tok/s Runs great
74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. MiMo V2.6 Distill Qwen 9BXiaomi Q4_K_M 6.6 GB 15.4 tok/s Runs welltight fit
74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. SenseNova Loop 9B PreviewSenseTime Q4_K_M 7.0 GB 15.0 tok/s Runs welltight fit
73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.5 9BDeepReinforce Q4_K_M 6.8 GB 15.1 tok/s Runs welltight fit
72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 9BAlibaba Q4_K_M 6.8 GB 15.1 tok/s Runs welltight fit
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI) Q4_K_M 5.6 GB 81.2 tok/s Runs great
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Mellum2.1 Thinking (12B-A2.5B)JetBrains Q3_K_M 6.7 GB 60.4 tok/s Runs welltight fit
71Great quality (A) · 71 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.0 9BDeepReinforce Q4_K_M 6.8 GB 15.1 tok/s Runs welltight fit
70Great quality (A) · 70 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. TMax 9BAi2 Q4_K_M 6.3 GB 16.2 tok/s Runs welltight fit

Best Image models for the Apple iPad mini (A20 Pro)

Quality Model Quant Memory Speed Runs
76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 4BBlack Forest Labs FP8 6.2 GB 22 s Runs welltight fit · encoder unloaded after use
84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. FLUX 3 Image KleinBlack Forest Labs Q4 GGUF 5.7 GB 2.7 min Very slowencoder unloaded after use
52Fair quality (C) · 52 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. SDXL-Lightning (4-step)ByteDance FP8 5.6 GB 14 s Runs well
78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. Z-Image TurboAlibaba (Tongyi) Q4 GGUF 6.1 GB 72 s Slowencoder unloaded after use
56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. DreamShaper XL v2 TurboLykon FP8 5.6 GB 27 s Runs well
60Good quality (B) · 60 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. Juggernaut XL v9RunDiffusion FP8 5.6 GB 1.5 min Slow

Best Video models for the Apple iPad mini (A20 Pro)

Quality Model Quant Memory Speed Runs
49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. LTX-Video 2BLightricks FP8 6.1 GB 9.0 min Runs wellencoder unloaded after use
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. AnimateDiff v3 (SD 1.5)Shanghai AI Lab FP16 4.7 GB 7.6 min Runs well
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. CogVideoX 2BZhipu AI FP8 6.2 GB 21.6 min Slowtight fit · encoder unloaded after use

Best Decision models for the Apple iPad mini (A20 Pro)

None of the decision models in our catalog fit in this much memory.

Best LLMs by task on this hardware Open in Model Finder

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.

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