Quick Answer: Intel Arc B580 offers 12GB VRAM and starts around current market pricing. It delivers approximately 88 tokens/sec on deepseek-ai/DeepSeek-OCR-2. It typically draws 190W under load.
This GPU offers reliable throughput for local AI workloads. Pair it with the right model quantization to hit your desired tokens/sec, and monitor prices below to catch the best deal.
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| Model | Quantization | Tokens/sec | VRAM used |
|---|---|---|---|
| deepseek-ai/DeepSeek-OCR-2 | Q4 | 87.61 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-ASR-1.7B | Q4 | 81.24 tok/sEstimated Auto-generated benchmark | 2GB |
| zai-org/GLM-OCR | Q4 | 77.49 tok/sEstimated Auto-generated benchmark | 4GB |
| moonshotai/Kimi-K2.5 | Q4 | 76.29 tok/sEstimated Auto-generated benchmark | 4GB |
| nvidia/personaplex-7b-v1 | Q4 | 72.14 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-OCR-2 | Q8 | 66.93 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-ASR-1.7B | Q8 | 64.83 tok/sEstimated Auto-generated benchmark | 3GB |
| moonshotai/Kimi-K2.5 | Q8 | 55.87 tok/sEstimated Auto-generated benchmark | 8GB |
| zai-org/GLM-OCR | Q8 | 55.69 tok/sEstimated Auto-generated benchmark | 8GB |
| nvidia/personaplex-7b-v1 | Q8 | 51.30 tok/sEstimated Auto-generated benchmark | 8GB |
| Qwen/Qwen3-ASR-1.7B | FP16 | 36.60 tok/sEstimated Auto-generated benchmark | 6GB |
| deepseek-ai/DeepSeek-OCR-2 | FP16 | 35.14 tok/sEstimated Auto-generated benchmark | 8GB |
| moonshotai/Kimi-K2.5 | FP16 | 28.74 tok/sEstimated Auto-generated benchmark | 16GB |
| nvidia/personaplex-7b-v1 | FP16 | 28.52 tok/sEstimated Auto-generated benchmark | 16GB |
| zai-org/GLM-OCR | FP16 | 27.87 tok/sEstimated Auto-generated benchmark | 16GB |
| zai-org/GLM-4.7-Flash | Q4 | 24.80 tok/sEstimated Auto-generated benchmark | 18GB |
| zai-org/GLM-4.7-Flash | Q8 | 16.97 tok/sEstimated Auto-generated benchmark | 35GB |
| Qwen/Qwen3-Coder-Next | Q4 | 14.28 tok/sEstimated Auto-generated benchmark | 45GB |
| zai-org/GLM-4.7-Flash | FP16 | 10.97 tok/sEstimated Auto-generated benchmark | 70GB |
| Qwen/Qwen3-Coder-Next | Q8 | 10.53 tok/sEstimated Auto-generated benchmark | 90GB |
| stepfun-ai/Step-3.5-Flash | Q4 | 9.40 tok/sEstimated Auto-generated benchmark | 112GB |
| stepfun-ai/Step-3.5-Flash | Q8 | 6.28 tok/sEstimated Auto-generated benchmark | 223GB |
| Qwen/Qwen3-Coder-Next | FP16 | 5.57 tok/sEstimated Auto-generated benchmark | 179GB |
| stepfun-ai/Step-3.5-Flash | FP16 | 3.65 tok/sEstimated Auto-generated benchmark | 446GB |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
| Model | Quantization | Verdict | Estimated speed | VRAM needed |
|---|---|---|---|---|
| nvidia/personaplex-7b-v1 | Q4 | Fits comfortably | 72.14 tok/sEstimated | 4GB (have 12GB) |
| moonshotai/Kimi-K2.5 | Q4 | Fits comfortably | 76.29 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-Coder-Next | Q4 | Not supported | 14.28 tok/sEstimated | 45GB (have 12GB) |
| Qwen/Qwen3-ASR-1.7B | Q4 | Fits comfortably | 81.24 tok/sEstimated | 2GB (have 12GB) |
| stepfun-ai/Step-3.5-Flash | Q4 | Not supported | 9.40 tok/sEstimated | 112GB (have 12GB) |
| deepseek-ai/DeepSeek-OCR-2 | Q4 | Fits comfortably | 87.61 tok/sEstimated | 2GB (have 12GB) |
| zai-org/GLM-4.7-Flash | Q4 | Not supported | 24.80 tok/sEstimated | 18GB (have 12GB) |
| zai-org/GLM-OCR | Q4 | Fits comfortably | 77.49 tok/sEstimated | 4GB (have 12GB) |
| nvidia/personaplex-7b-v1 | Q8 | Fits comfortably | 51.30 tok/sEstimated | 8GB (have 12GB) |
| moonshotai/Kimi-K2.5 | Q8 | Fits comfortably | 55.87 tok/sEstimated | 8GB (have 12GB) |
| Qwen/Qwen3-Coder-Next | Q8 | Not supported | 10.53 tok/sEstimated | 90GB (have 12GB) |
| Qwen/Qwen3-ASR-1.7B | Q8 | Fits comfortably | 64.83 tok/sEstimated | 3GB (have 12GB) |
| stepfun-ai/Step-3.5-Flash | Q8 | Not supported | 6.28 tok/sEstimated | 223GB (have 12GB) |
| deepseek-ai/DeepSeek-OCR-2 | Q8 | Fits comfortably | 66.93 tok/sEstimated | 4GB (have 12GB) |
| zai-org/GLM-4.7-Flash | Q8 | Not supported | 16.97 tok/sEstimated | 35GB (have 12GB) |
| zai-org/GLM-OCR | Q8 | Fits comfortably | 55.69 tok/sEstimated | 8GB (have 12GB) |
| nvidia/personaplex-7b-v1 | FP16 | Not supported | 28.52 tok/sEstimated | 16GB (have 12GB) |
| moonshotai/Kimi-K2.5 | FP16 | Not supported | 28.74 tok/sEstimated | 16GB (have 12GB) |
| Qwen/Qwen3-Coder-Next | FP16 | Not supported | 5.57 tok/sEstimated | 179GB (have 12GB) |
| Qwen/Qwen3-ASR-1.7B | FP16 | Fits comfortably | 36.60 tok/sEstimated | 6GB (have 12GB) |
| stepfun-ai/Step-3.5-Flash | FP16 | Not supported | 3.65 tok/sEstimated | 446GB (have 12GB) |
| deepseek-ai/DeepSeek-OCR-2 | FP16 | Fits comfortably | 35.14 tok/sEstimated | 8GB (have 12GB) |
| zai-org/GLM-4.7-Flash | FP16 | Not supported | 10.97 tok/sEstimated | 70GB (have 12GB) |
| zai-org/GLM-OCR | FP16 | Not supported | 27.87 tok/sEstimated | 16GB (have 12GB) |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
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