Intel Core Ultra AI PCs
HP OmniBook Ultra Flip 14 leads this page with an AIPC Score of 18.7, giving a local model about 16GB of usable AI memory at $1,719.99 for the 32GB / 1TB configuration. The cheapest tracked option here is Minisforum MS-01 Workstation at $1,039. 8 systems on this page, 7 with a verified price.
Updated
| # | System | Type | AI Memory | GPU/NPU | AI Score | Price | Verified | View |
|---|---|---|---|---|---|---|---|---|
| 1 |  HP OmniBook Ultra Flip 14 | Laptop | 16GB | Intel Arc Graphics | 18.7 | $1,719.99 | View Deal on Amazon → | |
| 2 |  ASUS Zenbook S14 (Core Ultra 258V) | Laptop | 16GB | Intel Arc 140V | 18.6 | $1,965.99 | View Deal on Amazon → | |
| 3 |  Minisforum MS-01 Workstation | Mini PC | 16GB | Intel Iris Xe | 18.6 | $1,039 | View Deal on Amazon → | |
| 4 |  Lenovo Yoga Slim 9i | Laptop | 16GB | Intel Arc 140V | 18.6 | $2,079.99 | View Deal on Amazon → | |
| 5 |  ASUS NUC 15 Pro | Mini PC | 16GB | Intel Arc Graphics | 18.2 | $1,599 | View Deal on Amazon → | |
| 6 |  Acer Swift 14 AI | Laptop | 16GB | Intel Arc 140V | 18.1 | No verified price | — | View details → |
| 7 |  Lenovo Yoga Slim 7i Aura Edition | Laptop | 8GB | Intel Arc 140V | 8.7 | $1,339.99 | View Deal on Amazon → | |
| 8 |  Dell 14 Plus (Core Ultra 200V) | Laptop | 8GB | Intel Arc 140V | 8.7 | $1,275.49 | View Deal on Amazon → |
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply to the purchase of this product.
What the NPU is for
Core Ultra 200V carries a 48 TOPS neural processor, which clears the Copilot+ bar and accelerates the AI features built into Windows efficiently. That is a real benefit for battery life and responsiveness, and it is what these machines are designed around.
The phrase AI PC covers two different machines. One is a thin-and-light with a neural processor that accelerates the AI features built into Windows, which is what Copilot+ certification measures. The other is a machine with enough fast memory to hold a language model and run it locally. A laptop can satisfy the first definition completely and still be unable to load a 32B model, so this page separates the two rather than blurring them.
The memory ceiling
These are shared-memory designs, so the graphics processor gets roughly half of system memory. On a 32GB machine that is about 16GB for a model, which covers a small model comfortably and a mid-sized one not at all. Memory is also in the package on 200V, so it cannot be upgraded later.
Usable AI memory decides what a machine can load at all, and memory bandwidth decides how fast it answers once loaded. Those two numbers matter more than the processor name on the box. A machine with a large unified pool and modest bandwidth will run a very large model slowly; a machine with a fast narrow pool will run a small model quickly and refuse a large one outright.