How fast will Gemma 4 12B feel on your hardware?

Gemma 4 12B speed on GPUs and Macs

Gemma 4 12B is a 11.96B-parameter model. Smaller quantizations need less memory and run faster, at some cost in quality. Below is the expected speed on each piece of hardware at the best quantization that fits.

HardwareQuantizationMemoryGenerationFirst token
H200 141GB (cloud)Q4_K_MFits294 tok/s0.3 s
H100 80GB (cloud)Q4_K_MFits205 tok/s0.3 s
NVIDIA RTX 5090 32GBQ4_K_MFits148 tok/s0.3 s
NVIDIA RTX PRO 6000 96GBQ4_K_MFits110 tok/s0.3 s
NVIDIA RTX 4090 24GBQ4_K_MFits102 tok/s0.3 s
AMD Instinct MI50 32GBQ4_K_MFits92 tok/s0.6 s
Mac Studio M5 Ultra 256GBQ4_K_MFits90 tok/s0.3 s
AMD RX 7900 XTX 24GBQ4_K_MFits87 tok/s0.4 s
NVIDIA RTX 3090 24GBQ4_K_MFits85 tok/s0.3 s
Mac Studio M5 Ultra 512GBQ4_K_MFits81 tok/s0.3 s
AMD RX 7900 XT 20GBQ4_K_MFits72 tok/s0.4 s
Mac Studio M3 Ultra 512GBQ4_K_MFits61 tok/s0.4 s
NVIDIA RTX 5080 16GBQ4_K_MFits59 tok/s0.3 s
AMD Radeon AI PRO R9700 32GBQ4_K_MFits58 tok/s0.3 s
AMD RX 9070 XT 16GBQ4_K_MFits58 tok/s0.3 s
NVIDIA Tesla V100 32GBQ4_K_MFits55 tok/s0.3 s
NVIDIA RTX 5070 Ti 16GBQ4_K_MFits55 tok/s0.3 s
MacBook Pro M5 Max 128GBQ4_K_MFits46 tok/s0.4 s
Mac Studio M4 Max 128GBQ4_K_MFits41 tok/s0.4 s
NVIDIA RTX 5060 Ti 16GBQ4_K_MFits27 tok/s0.3 s
AMD Ryzen AI Max+ PRO 495 192GB (Gorgon Halo)Q4_K_MFits25 tok/s0.4 s
AMD Ryzen AI Max+ 395 128GB (Strix Halo)Q4_K_MFits25 tok/s0.4 s
Mac mini M5 Pro 64GBQ4_K_MFits23 tok/s0.4 s
MacBook Pro M5 Pro 48GBQ4_K_MFits23 tok/s0.4 s
NVIDIA RTX 3060 12GBQ4_K_MFits22 tok/s0.4 s
MacBook M4 Pro 24GBQ4_K_MFits20 tok/s0.5 s
NVIDIA RTX Spark N1X 128GB (laptop)Q4_K_MFits18 tok/s0.3 s
Intel Arc Pro B70 32GBQ4_K_MFits18 tok/s0.4 s
NVIDIA DGX Spark 128GBQ4_K_MFits17 tok/s0.3 s
CPU-only (Ryzen 9 9950X, 96GB DDR5)Q4_K_MFits8.5 tok/s0.6 s

Other models

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.