What AI models can the Samsung Galaxy S24+ run?

RAM: 12.0 GB
Storage: 256 GB – 512 GB
One app can use: 7.2 GB
Memory bandwidth: 68 GB/s
FP16 compute: 1.7 TFLOPS
Released: 2024

293 / 622 LLMs run Best: Ling 3.0 Tiny (8B-A1.3B) 0 / 61 Image models run No Android app 0 / 43 Video models run No Android app 0 / 70 Decision models run No Android app

Every Galaxy S24+ has 12 GB of RAM, whatever its storage (256 GB or 512 GB). A model runs in RAM (the 12.0 GB here), not in storage. Storage (256 GB or 512 GB on this version) 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	Samsung
Type	Mobile device (system on a chip)
App share of memory	60% (what one app can typically hold before the system closes it)
Chip	Exynos 2400 or Snapdragon 8 Gen 3
RAM type	LPDDR5X
Versions sold	S24+: 12 GB RAM with 256 GB or 512 GB
Bandwidth figure	68.3 GB/s, the chip’s rated memory speed (the phone maker publishes none)
Note	Exynos 2400 (Xclipse 940 GPU) in most markets, Snapdragon 8 Gen 3 in the US and China. Bandwidth shown is the Exynos LPDDR5X-8533 figure (68.3 GB/s).
Maker’s specifications	www.samsung.com

Apps that run models well on the Samsung Galaxy S24+

Android

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 Samsung Galaxy S24+

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 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	40.9 tok/s	Runs great
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q4_K_M`	5.6 GB	13.7 tok/s	Runs well
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Mellum2.1 Thinking (12B-A2.5B)JetBrains	`Q3_K_M`	6.7 GB	28.9 tok/s	Runs welltight fit
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Nanbeige4.2 3BBOSS Zhipin (Nanbeige)	`Q4_K_M`	4.6 GB	14.8 tok/s	Runs well
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E4BGoogle	`Q4_K_M`	5.6 GB	13.7 tok/s	Runs well
69Good quality (B) · 69 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 12BGoogle	`Q3_K_M`	7.1 GB	6.7 tok/s	Slowtight fit
49Fair quality (C) · 49 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.	LFM2.5 8B-A1BLiquid AI	`Q4_K_M`	5.9 GB	36.1 tok/s	Runs great
58Good quality (B) · 58 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.	Gemma 4 E2BGoogle	`Q4_K_M`	3.8 GB	26.8 tok/s	Runs well
44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	Unlimited OCR 2 (3B-A0.6B)Baidu	`Q8_0`	4.6 GB	43.7 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 74/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron Labs Dory 1.0 4BNVIDIA	`Q4_K_M`	3.5 GB	15.5 tok/s	Runs well
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	Mage-VL-Cowork 4.7BMicrosoft	`Q4_K_M`	4.7 GB	13.0 tok/s	Runs well
42Fair quality (C) · 42 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking.	Granite 4.0 H Tiny (7B-A1B)IBM	`Q5_K_M`	5.6 GB	43.3 tok/s	Runs great

Best Image models for the Samsung Galaxy S24+

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

Best Video models for the Samsung Galaxy S24+

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

Best Decision models for the Samsung Galaxy S24+

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.