text model · OpenELM · iOS

Can I run Apple OpenELM 1.1B on iPad Pro M4 (16GB, 1TB/2TB config)?

Compatibility verdict VRAM threshold engine

Yes, it runs usable speed ~95 tok/s est.

Yes. Apple OpenELM 1.1B runs on iPad Pro M4 (16GB, 1TB/2TB config) at Q4_K_M (~1.7 GB of ~12 GB usable).

Needs ~1.7 GB Device usable ~12 GB

Runs at Q4_K_M using ~1.7 GB of ~12 GB usable. You have room for FP16 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. iPad Pro M4 (16GB, 1TB/2TB config) leaves ~10.3 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed: ~1.7 GB
Usable on device: ~12 GB
Device memory: 16 GB
Best quant: Q4_K_M

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Which quant fits

Quant ladder vs ~12 GB usable

Q2_K

~1.6 GB

Q3_K_M

~1.6 GB

Q4_K_M

~1.7 GB

Q5_K_M

~1.9 GB

Q6_K

~2 GB

Q8_0

~2.2 GB

FP16

~3.3 GB

The line marks iPad Pro M4 (16GB, 1TB/2TB config)'s ~12 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.

Power draw: ~14 W
Electricity / 1M tokens: ~$0.01
Pays for itself after: ~3,263M tok

At ~$0.15/kWh and the estimated ~95 tok/s, a million generated tokens costs about $0.01 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$1,599 iPad Pro M4 (16GB, 1TB/2TB config) pays for itself after roughly 3,263 million tokens, so local hardware is mostly a fixed cost, not a per-token one. TDP is the peak draw, so this is an upper bound. Assumptions.

How to run it

On iOS use Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.).

Model OpenELM

Parameters: 1.1B
Q4_K_M size: 0.63 GB
Q8_0 size: 1.07 GB
Context: 2k

Full Apple OpenELM 1.1B requirements →

Device iOS

Memory: 16 GB unified
Usable for weights: ~12 GB
Power draw: ~14 W
Best runtime: MLX (via Python or Swift; mlx-lm package)

Best models for iPad Pro M4 (16GB, 1TB/2TB config) →

You could also run

Run Apple OpenELM 1.1B on other hardware

Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 Pro iPhone 16 iPhone 16 Pro Generic Android Phone (8GB RAM)

FAQ

Can iPad Pro M4 (16GB, 1TB/2TB config) run Apple OpenELM 1.1B?

Yes. Apple OpenELM 1.1B runs on iPad Pro M4 (16GB, 1TB/2TB config) at Q4_K_M (~1.7 GB of ~12 GB usable).

How much memory does Apple OpenELM 1.1B need?

iPad Pro M4 (16GB, 1TB/2TB config) has room to spare. At Q4_K_M the weights are ~0.63 GB; with KV cache and runtime overhead, budget ~1.7 GB at a 4k context.

What is the best tool to run Apple OpenELM 1.1B on iOS?

On iPhone and iPad, Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.) is the standard choice. Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.

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Markdown

[![Apple OpenELM 1.1B on iPad Pro M4 (16GB, 1TB/2TB config)](https://localmodel.run/badge/openelm-1.1b/ipad-pro-m4-16gb.svg)](https://localmodel.run/can-i-run/openelm-1.1b/ipad-pro-m4-16gb)

Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.