Inference Net Schematron 3B speed on RTX 4060 and quantization-level VRAM fit.
RTX 4060 meets the minimum VRAM requirement for Q4 inference of Inference Net Schematron 3B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4060 can run Inference Net Schematron 3B with Q4 quantization. At approximately 45 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 6GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 8GB | 44.87 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 8GB | 31.41 tok/s | ✅ Fits comfortably |
| FP16 | 7GB | 8GB | 17.05 tok/s | ⚠️ Tight fit |
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RTX 4060 can run Inference Net Schematron 3B at Q4 with an estimated 45 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RTX 4060 has 8GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.