Intel Arc B570
10GB Battlemage at sub-$220. Entry budget compute.
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Sub-scores sum to 264 / 1000. Headline = 264 × 0.70 (Estimated-confidence discount) = 185. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →
Extrapolated from 380 GB/s bandwidth — 30.4 tok/s estimated. No measured benchmarks yet.
Plain-English: Best for 7B; 14B is tight — coding agent feels deliberate.
Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.
What it does well
The Intel Arc B570 is Intel's Battlemage-generation budget consumer GPU and the cheapest path to a 10 GB modern-architecture GPU at $219 retail. 10 GB GDDR6 at 380 GB/s + Intel Xe2 (Battlemage) compute + Intel AI Boost. The Battlemage architecture is a meaningful improvement over Arc A770 Alchemist on drivers, Vulkan/DirectML perf, and AI throughput per watt. Power draw at 150 W TDP is the lowest of any current-gen 10+ GB GPU. Intel Arc software has matured: llama.cpp Vulkan + DirectML + ONNX Runtime + OpenVINO + IPEX-LLM all run.
Where it breaks
- No CUDA, no ROCm — Intel Arc + IPEX/OpenVINO/Vulkan only.
- 10 GB ceiling is awkward. Below 12 GB tier (cheapest 12 GB is Arc B580 at $249) and above 8 GB tier. Most LLM workloads target 8/12/16/24 GB; 10 GB doesn't fit common quant size patterns cleanly.
- Pricing competition is brutal from used market. Used RTX 3060 12GB at $200 has 20% more VRAM + CUDA + similar bandwidth at lower price.
- Day-zero new model support is the worst of the three GPU vendors.
- Compute ceiling. Battlemage tensor units are functional but not class-leading.
Ideal model range
- Sweet spot: 7B FP16 / Q5 inference via IPEX-LLM or Vulkan.
- Sweet spot: 13B Q4 with limited context (just fits 10 GB).
- Sweet spot: First-time non-CUDA local AI exploration on the absolute tightest budget.
- Bad fit: 14B+ FP16, 32B-class anything, fine-tuning at scale, CUDA-required.
Verdict
Buy this if you want the absolute cheapest current-gen 10+ GB GPU for AI at $219, you're vendor-diversifying away from NVIDIA, and budget is dominant. RTX 5060 at $299 has only 8 GB but full CUDA — pick by VRAM-vs-CUDA priority.
Skip this if used RTX 3060 12GB at $200 used fits (more VRAM, CUDA, lower price), Arc B580 at $249 fits (20% more VRAM at modest premium), or your stack requires CUDA.
How it compares
- vs Intel Arc B580 (12 GB) → B580 has 20% more VRAM at +$30 MSRP. The strict upgrade path.
- vs Intel Arc A770 16GB → A770 has 60% more VRAM at +$130 retail (or similar used). Pick A770 16GB for 16 GB AMD-aligned ceiling; B570 for absolute budget.
- vs used RTX 3060 12GB → 3060 12GB at $200 has 20% more VRAM + CUDA at lower price.
- vs RTX 5060 (8 GB) → 5060 has 20% less VRAM + Blackwell + FP4 + CUDA at +$80 MSRP.
- vs RX 7600 XT (16 GB) → 7600 XT has 60% more VRAM + AMD ecosystem at +$110.
Overview
10GB Battlemage at sub-$220. Entry budget compute.
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Specs
| VRAM | 10 GB |
| Power draw (peak) | 150 W |
| Released | 2025 |
| MSRP | $219 |
| Backends | Vulkan |
Models that fit
Open-weight models small enough to run on Intel Arc B570 with usable context.
Frequently asked
What models can Intel Arc B570 run?
Does Intel Arc B570 support CUDA?
Where next?
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.