Arc A750 vs Arc B580 for Local AI

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Which GPU is better for local AI workloads?

The B580's 12GB holds 12B models at Q4 — impossible on the A750's 8GB. Intel's driver maturation also means the B580 is the smoother Arc experience. Both require IPEX-UX/Vulkan paths rather than CUDA.

Spec comparison: what actually differs

The table below is computed live from our hardware database. Positive deltas favor the Arc A750.

Specification	Arc A750	Arc B580	Difference
VRAM	8	12	-33%
Memory bandwidth	512	456	+12%
Memory type	GDDR6	GDDR6	—
Memory bus	256	192	—
TDP	225	190	+18%
Architecture	Alchemist	Battlemage	—
Launch MSRP	$289	$249	+16%
Street price	$289	$249	+16%

Specs from our sourced product database. See how we source data.

What about price?

Launch MSRP: $289 (A750) versus $249 (B580).

Which one should you buy for LLMs and image generation?

Intel · 2022

Arc A750

Buy a clearance A750 only under $180.

Full specs & benchmarks →

Intel · 2024

Arc B580

Buy the B580 — the budget 12GB pick.

Full specs & benchmarks →

Is it faster for LLM inference?

12B Q4 only on B580; llama.cpp Vulkan on both.

How does it handle image generation?

SDXL easier on B580's 12GB.

Which AI models fit on each card?

Computed from our model VRAM database at Q4 quantization: Arc A750 has 8 GB, Arc B580 has 12 GB.

Fit only on the Arc B580 (12 GB)

Gpt Oss 20B ✓ Maple Preview ✓ Ling Mini 2.0 ✓ Deepseek R1 Distill Qwen 14B ✓ Qwen3 14B ✓ Confucius4-T3PO ✓ WebWorld-14B ✓ ContextPilot 14B ✓ Phi 4 ✓ Phi 3 Medium ✓ Ministral 3 14B Instruct ✓ Ministral 3 14B Reasoning ✓

Fit on both cards

Gemma 3 12B Mellum 2.1 Thinking FLUX.1 dev Gemma 4 12B IT Ornith 1.5 9B OxCoder 9B Gemma 2 9B K2 Horizon 7B NeoHorse 1 9B Ministral 3 8B Reasoning Ministral 3 8B Instruct Granite 4.2 8B LFM2.5 8B A1B Qwen 3 8B ALoDLM 8B Deepseek R1 Distill Llama 8B Llama 3.1 8B Stable Diffusion 3.5 Large Gemma 4 E4B IT Edge0 8B A1B (preview) Ling-3.0-tiny Qwen2 5 7B ZGCM-1 7B Mistral 7B V03 Gemma 4 E2B IT K2 Horizon 3.7B Gemma 3 4B Ministral 3 3B Reasoning NeoHorse 1 4B Nanbeige4.2 3B Spark X2.5 4B Qwen3 4B Ministral 3 3B Instruct Granite 4.2 3B Stable Diffusion XL 1.0 Llama 3 2 3B Granite Swash 3B A600M LFM2.5 2.6B MiniCPM5 2B Qwen3 1 7B Spark X2.5 1.7B Whisper large-v3 Llama 3 2 1B K2 Horizon 0.9B Coqui XTTS-v2 Qwen3 0 6B GPT-X3 150M

Q4_K_M-equivalent sizes; context and quantization choices shift real limits. Check each model page for full quantization tables.

Frequently asked questions

A750 or B580 for budget AI?

B580: 12GB versus 8GB capacity, cheaper launch price, two more years of driver development.