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[ARTICLE · art-112431] src=forum.level1techs.com ↗ pub= topic=artificial-intelligence verified=true sentiment=↓ negative

Intel 258v - What's the point?(AI)

A user testing local AI model performance on the Samsung Galaxy Book 5 360 Pro with an Intel 258v processor reports disappointing results, achieving only about 30 tokens per second decode and 200 tokens per second prefill when running a Qwen 3.6 35B A3B model via llama.cpp with Vulkan, while noting that Intel's OpenVINO toolkit remains immature and underperforms compared to llama.cpp.

read1 min views2 publishedAug 26, 2026

I recently lucked into a Samsung Galaxy Book 5 360 Pro(talk about a mouthful) with an Intel 258v 32GB model. I wanted to see how capable it was running local AI models and I’ve been kinda disappointed. Is there something I’m missing?

Ubuntu Server 26.04 - Kernel 7.2

OpenVINO - So incredibly immature, I can run Qwen 3.6 35B A3B if I pull the latest nightlies and build everything myself but it just sucks in comparison to llama.cpp performance wise.

llama.cpp - I tried Sycl and Vulkan, Vulkan was the clear winner with double the tokens per second output.

I thought this generation was supposed to be more capable of running local models? Obviously there’s limitations with RAM amounts but parsing an A3B model and only getting roughly 30 t/s decode and 200 t/s prefill(honestly this is the more painful part) really sucks.

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