Hardware · Android

What AI models can the Other Android device with an Exynos 1380 to 1680 (6 GB RAM) run?

RAM
6.0 GB
One app can use
3.0 GB
Memory bandwidth
51 GB/s
FP16 compute
1.0 TFLOPS
Released
2024
117 / 621 LLMs run Best: MiniCPM5 2B 0 / 61 Image models run No Android app 0 / 43 Video models run No Android app 0 / 70 Decision models run No Android app

A model runs in RAM (the 6.0 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 3.0 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

MakerAndroid
TypeMobile device (system on a chip)
App share of memory50% (what one app can typically hold before the system closes it)
Chipan Exynos 1380 to 1680
Bandwidth figure51.2 GB/s, estimated, see the note below

Apps that run models well on the Other Android device with an Exynos 1380 to 1680 (6 GB RAM)

Android

  1. PocketPal AIRuns the model on the device itself, offline: download it once in the app.
  2. ChatterUIRuns 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 Other Android device with an Exynos 1380 to 1680 (6 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 75/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 2BOpenBMB Q4_K_M 2.5 GB 18.4 tok/s Runs well
53Fair quality (C) · 53 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. LFM3 1.7BLiquid AI Q4_K_M 1.8 GB 26.7 tok/s Runs well
55Good quality (B) · 55 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. Spark-X2.6 4BSparkLLM Q3_K_M 2.9 GB 14.6 tok/s Runs welltight fit
47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2BLiquid AI Q4_K_M 1.9 GB 24.1 tok/s Runs well
43Fair quality (C) · 43 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E2BGoogle Q2_K 2.7 GB 33.0 tok/s Runs welltight fit
51Fair quality (C) · 51 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. TMax 4BAi2 Q3_K_M 2.9 GB 14.2 tok/s Runs welltight fit
47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. Nemotron Labs Dory 1.0 4BNVIDIA Q2_K 2.7 GB 19.1 tok/s Runs welltight fit
38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. TeleOCRXingChen-AGI Q4_K_M 2.4 GB 32.6 tok/s Runs great
36Basic quality (D) · 36 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. Unlimited OCR 2 (3B-A0.6B)Baidu Q3_K_M 2.7 GB 75.3 tok/s Runs welltight fit
40Fair quality (C) · 40 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. PaddleOCR-VL 1.6 0.9BBaidu Q5_K_M 1.4 GB 39.8 tok/s Runs great
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. Unlimited OCR (3B-A0.6B)Baidu Q3_K_M 2.7 GB 75.3 tok/s Runs welltight fit
41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 2.6BLiquid AI Q4_K_M 2.4 GB 17.1 tok/s Runs well

Best Image models for the Other Android device with an Exynos 1380 to 1680 (6 GB RAM)

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

Best Video models for the Other Android device with an Exynos 1380 to 1680 (6 GB RAM)

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

Best Decision models for the Other Android device with an Exynos 1380 to 1680 (6 GB RAM)

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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