Inference Net Schematron 3B speed on RX 9070 and quantization-level VRAM fit.
RX 9070 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.
RX 9070 can run Inference Net Schematron 3B with Q4 quantization. At approximately 87 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 14GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 16GB | 86.99 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 16GB | 60.89 tok/s | ✅ Fits comfortably |
| FP16 | 7GB | 16GB | 33.05 tok/s | ✅ Fits comfortably |
Need a GPU with 2GB+ VRAM? These guides match your requirements.
Check current pricing links for RX 9070 and similar cards.
Open RX 9070 buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →Rent cloud GPUs by the hour — no upfront hardware cost.
RX 9070 can run Inference Net Schematron 3B at Q4 with an estimated 87 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RX 9070 has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.