Intel Arc Pro B65 — Local LLM Performance & Compatibility
作者： Jakub Rusinowski · 最后更新： 2026年9月19日
B65保留了B70的32 GB和608 GB/s，但算力降到20个Xe核心。推理受带宽限制远大于受算力限制，因此核心数的差距影响没有数字看上去那么大。
Technical Specifications
| VRAM | 32 GB |
| Memory Bandwidth | 608 GB/s |
| TDP | 200 W |
| Architecture | Xe2 Battlemage BMG-G31 |
| Release Year | 2026 |
| MSRP at Launch | $0 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 35–72 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | Does not fit — needs ~44 GB of 32 GB usable |
作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。
LLMs Compatible with 32 GB VRAM
All models below run comfortably in 32 GB VRAM with Q4_K_M quantization.
| Command R Family | Command R (35B) · 22 GB VRAM · Q4_K_M · ollama run command-r |
| Qwen 3.5 | Qwen 3.5 35B-A3B · 22 GB VRAM · Q4_K_M · ollama run qwen3.5:35b-a3b |
| Qwen 3.6 | Qwen 3.6 35B-A3B · 22 GB VRAM · Q4_K_M · ollama run qwen3.6:35b-a3b |
| Nex-N2 | Nex-N2 mini · 22 GB VRAM · Q4_K_M · nex-n2 |
| Yi 1.5 Family | Yi 1.5 34B Chat · 22 GB VRAM · Q4_K_M · ollama run yi:34b |
| Qwen 3 | Qwen 3 32B · 21 GB VRAM · Q4_K_M · ollama run qwen3:32b |
| Aya Expanse | Aya Expanse 32B · 20 GB VRAM · Q4_K_M · ollama run aya-expanse:32b |
| DeepSeek R1 | DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b |
56 more families also fit 32 GB — browse the full model library.
Best Use Cases
- 32 GB on a budget
- workstation AI
FAQ
Can the Intel Arc Pro B65 run local LLMs?
Yes — the Intel Arc Pro B65 has 32 GB VRAM and runs B65保留了B70的32 GB和608 GB/s，但算力降到20个Xe核心。推理受带宽限制远大于受算力限制，因此核心数的差距影响没有数字看上去那么大。
How fast is the Intel Arc Pro B65 for AI inference?
The Intel Arc Pro B65 is estimated to run Llama 3.1 8B at 35–72 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 32 GB usable. These are modelled estimates, not measurements — see /en/methodology.
What LLMs can I run on 32 GB VRAM?
With 32 GB you can run: Command R Family, Qwen 3.5, Qwen 3.6, Nex-N2, Yi 1.5 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.
Compare Similar GPUs
- NVIDIA GeForce RTX 5090 Laptop GPU (24 GB, 0 t/s)
- Intel Arc Pro B70 (32 GB, 0 t/s)
- AMD Radeon AI PRO R9700 (32 GB, 0 t/s)
- NVIDIA GeForce RTX 3090 Ti (24 GB, 0 t/s)
VRAM Tier
Buying Guide
← All GPU Reviews | All Hardware | Check Your Hardware | Full Benchmarks | Can I Run It?