How fast will GPT-OSS 20B feel on the AMD Ryzen AI Max+ PRO 495 192GB (Gorgon Halo)?

GPT-OSS 20B on the AMD Ryzen AI Max+ PRO 495 192GB (Gorgon Halo)

GPT-OSS 20B is a 20.91B-parameter mixture-of-experts model (3.6B active per token). At MXFP4 it needs about 12.9 GB of memory. The AMD Ryzen AI Max+ PRO 495 192GB (Gorgon Halo) has 179 GB usable, so it fits entirely in memory. Expect about 84 tokens/sec (42–126), with the first token after 0.3 s for a short prompt. This estimate is interpolated from benchmarks of similar setups.

Speed by quantization

Quantization	File size	Memory	Generation	First token	Source
MXFP4	12.1 GB	Fits	84 tok/s	0.3 s	Derived

GPT-OSS 20B on other hardware

H100 80GB (cloud) · 700 tok/s at MXFP4
NVIDIA RTX 5090 32GB · 375 tok/s at MXFP4
NVIDIA RTX PRO 6000 96GB · 375 tok/s at MXFP4
AMD Instinct MI50 32GB · 316 tok/s at MXFP4
Mac Studio M5 Ultra 256GB · 307 tok/s at MXFP4
H200 141GB (cloud) · 301 tok/s at MXFP4
AMD RX 7900 XTX 24GB · 296 tok/s at MXFP4
Mac Studio M5 Ultra 512GB · 277 tok/s at MXFP4
NVIDIA RTX 4090 24GB · 211 tok/s at MXFP4
Mac Studio M3 Ultra 512GB · 210 tok/s at MXFP4
NVIDIA RTX 5080 16GB · 201 tok/s at MXFP4
NVIDIA RTX 3090 24GB · 196 tok/s at MXFP4
NVIDIA Tesla V100 32GB · 188 tok/s at MXFP4
NVIDIA RTX 5070 Ti 16GB · 187 tok/s at MXFP4
AMD Radeon AI PRO R9700 32GB · 159 tok/s at MXFP4
Mac Studio M4 Max 128GB · 140 tok/s at MXFP4
MacBook Pro M5 Max 128GB · 139 tok/s at MXFP4
AMD RX 9070 XT 16GB · 136 tok/s at MXFP4
AMD RX 7900 XT 20GB · 123 tok/s at MXFP4
NVIDIA RTX 5060 Ti 16GB · 94 tok/s at MXFP4
MacBook Pro M5 Pro 48GB · 82 tok/s at MXFP4
Mac mini M5 Pro 64GB · 79 tok/s at MXFP4
Intel Arc Pro B70 32GB · 76 tok/s at MXFP4
AMD Ryzen AI Max+ 395 128GB (Strix Halo) · 74 tok/s at MXFP4
MacBook M4 Pro 24GB · 70 tok/s at MXFP4
NVIDIA RTX Spark N1X 128GB (laptop) · 60 tok/s at MXFP4
NVIDIA RTX 3060 12GB · 58 tok/s at MXFP4
NVIDIA DGX Spark 128GB · 57 tok/s at MXFP4
CPU-only (Ryzen 9 9950X, 96GB DDR5) · 29 tok/s at MXFP4

Other models on the AMD Ryzen AI Max+ PRO 495 192GB (Gorgon Halo)

Qwen 3.6/3.8 27B · 10 tok/s at Q4_K_M
Qwen 3.8 Flash-Next · 44 tok/s at Q4_K_M
GLM-5.3 Flash · 20 tok/s at UD-IQ4_XS
Gemma 4 26B A4B · 70 tok/s at Q4_K_M
Qwen 3.5/3.6 35B A3B · 95 tok/s at Q4_K_M
Gemma 4 31B · 9.6 tok/s at Q4_K_M
Qwen 3.5 9B · 31 tok/s at Q4_K_M
DeepSeek V4 Flash · 26 tok/s at UD-Q4_K_XL
DeepSeek V4.1 Flash · 17 tok/s at Q2_K
GPT-OSS 120B · 55 tok/s at MXFP4
Llama 3.1 8B · 36 tok/s at Q4_K_M
Gemma 4 12B · 25 tok/s at Q4_K_M
GLM-5.3 · 11 tok/s at UD-IQ1_S
Nemotron 3.5 Lightning 30B A3B · 73 tok/s at Q4_K_M

All models on the AMD Ryzen AI Max+ PRO 495 192GB (Gorgon Halo) · GPT-OSS 20B on all hardware

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.