Can Strix Halo (Radeon 8060S) run gpt-oss 20B?

Q: Can Strix Halo (Radeon 8060S) run gpt-oss 20B?

Yes. Measured 67.2 tok/s generation on Strix Halo (Radeon 8060S), via llama.cpp b11669 (Vulkan), MXFP4 (12.1 GB GGUF), reasoning low. Source: https://measuredlocally.com/strix-halo.html

Last updated: 3 Nov 2026

Yes. Measured 67.2 tok/s generation (llama.cpp b11669 (Vulkan), MXFP4 (12.1 GB GGUF), reasoning low; source).

Every measured result for gpt-oss 20B on Strix Halo (Radeon 8060S)

Build	Quant / setup	Engine	tok/s
HP ZBook Ultra G1a (Ryzen AI Max+ 395, 64 GB): gpt-oss 20B at 67.2 tok/s, Qwen3.6 35B-A3B at 52.3 (llama.cpp Vulkan)	MXFP4 (12.1 GB GGUF), reasoning low	llama.cpp b11669 (Vulkan)	67.2	source

Memory: Strix Halo (Radeon 8060S) has 64 GB. gpt-oss 20B weights are about 13 GB in its native format (GGUF param count via llamabench.ai (OpenAI model card: 21B total, 3.6B active)). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.

Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.

All measured speeds for gpt-oss 20B: best home rig for gpt-oss 20B.

gpt-oss 20B on other hardware: Apple M1 Max · Apple M1 Ultra · Apple M2 Ultra · Apple M3 Ultra · Apple M4 Max · DGX Spark (GB10) · RTX 3060 12GB · RTX 3090 · RTX 4070 Ti · RTX 4090 · RTX 5060 Ti 16GB · RTX 5070 Ti · RTX 5080 · RTX 5090 · RTX A4000 · RTX Pro 6000 (Blackwell, 96 GB) · RTX Spark N1X · Radeon AI Pro R9700

Other models measured on Strix Halo (Radeon 8060S): Gemma 4 12B · Gemma 4 26B-A4B · Gemma 4 31B · Kolibri-1 · Qwen3.5 9B · Qwen3.6 27B · Qwen3.6 35B-A3B · Qwen3.8 27B · Qwen3.8 Flash-Next · gpt-oss 120B

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