GoogleGemma 3 12B on NVIDIA GeForce RTX 4090
Yes — RTX 4090 runs Gemma 3 12B excellently at Q5_K_M — 75 tok/s. 24 GB VRAM with plenty of headroom.
Model Size
12.2B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 3 12B on NVIDIA GeForce RTX 4090 at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 75 tok/s | 95ms | ✓ Yes | Excellent | estimated |
Notes
Q5_K_M
High speed at Q5. Fast inference for 12B class.
About Gemma 3 12B
Gemma 3 12B (12.2B) is a chat, coding, multi-purpose model. Google's efficient 12B model with chat and coding support.
View all Gemma 3 12B hardware options →About NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Estimate method: Community benchmarks and estimated performance. Reference hardware source: github.com (2026-03-01)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.