Can Strix Halo (Radeon 8060S) run gpt-oss 120B?
Yes. Measured 44.7 tok/s generation (llama.cpp b11213 Vulkan, MXFP4; source).
Every measured result for gpt-oss 120B on Strix Halo (Radeon 8060S)
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| HP ZBook Ultra G1a (Strix Halo laptop, 128 GB): Qwen3.6 35B-A3B at 59.4 tok/s, gpt-oss 120B at 44.7 | MXFP4 | llama.cpp b11213 Vulkan | 44.7 | source |
Memory: Strix Halo (Radeon 8060S) has 128 GB. gpt-oss 120B weights are about 65 GB in its native format (OpenAI model card: 117B total, 5.1B 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 120B: best home rig for gpt-oss 120B.
gpt-oss 120B on other hardware: Apple M2 Ultra · DGX Spark (GB10) · RTX Pro 6000 (Blackwell, 96 GB)
Other models measured on Strix Halo (Radeon 8060S): Gemma 4 26B-A4B · Gemma 4 31B · Qwen3.6 27B · Qwen3.6 35B-A3B · Qwen3.8 27B
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