GoogleGemma 2 9B Instruct on NVIDIA GeForce RTX 3060 12GB
Yes — RTX 3060 12GB handles Gemma 2 9B Instruct well at Q5_K_M — 30 tok/s. Solid daily-driver performance on 12 GB VRAM.
Model Size
9.24B
Device VRAM
12 GB
Bandwidth
360 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 2 9B Instruct on NVIDIA GeForce RTX 3060 12GB 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 | 30 tok/s | 200ms | ✓ Yes | Good | estimated |
Notes
Q5_K_M
Q5 at 6.6GB fits well on 12GB. Slightly slower than Llama 8B due to architecture differences.
About Gemma 2 9B Instruct
Gemma 2 9B Instruct (9.24B) is a chat, coding, reasoning, multi-purpose model. Google's 9B model with effective knowledge distillation. Competitive with Llama 3.1 8B on most benchmarks. Shorter max context (8K) is the main limitation vs Llama.
View all Gemma 2 9B Instruct hardware options →About NVIDIA GeForce RTX 3060 12GB
NVIDIA GeForce RTX 3060 12GB has 12 GB at 360 GB/s. Street price: $269.
See all models NVIDIA GeForce RTX 3060 12GB can run →Builds with NVIDIA GeForce RTX 3060 12GB
Estimate method: Community benchmarks. Reference hardware source: github.com (2026-01-15)
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.