Can Apple M2 Ultra run Qwen3.8 27B?
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Every measured result for Qwen3.8 27B on Apple M2 Ultra
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| Mac Studio M2 Ultra (60-core GPU, 64 GB): Qwen3.8 27B 4-bit at 33.6 tok/s, 41.6-64.3 with MTP; Ornith 1.5 35B-A3B at 132.5 tok/s (oMLX) | oQ4e-mtp mixed 4/5-bit MLX (4.887 bits/weight, 16.2 GB loaded) | oMLX 0.7.1rc1 (MLX), Lightning MTP on | 41.6 | source |
| Mac Studio M2 Ultra (60-core GPU, 64 GB): Qwen3.8 27B 4-bit at 33.6 tok/s, 41.6-64.3 with MTP; Ornith 1.5 35B-A3B at 132.5 tok/s (oMLX) | oQ4e-mtp mixed 4/5-bit MLX (4.887 bits/weight, 16.2 GB loaded) | oMLX 0.7.1rc1 (MLX), MTP off | 33.6 | source |
Memory: Apple M2 Ultra has 64 GB. Qwen3.8 27B weights are about 16.5 GB at Q4_K_M (27B params × 4.89 bits ÷ 8, before context/KV cache). 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 Qwen3.8 27B: best home rig for Qwen3.8 27B.
Qwen3.8 27B on other hardware: 2x Apple M5 Ultra · 2x DGX Spark (GB10) · 2x Intel Arc Pro B70 · 2x RTX 3060 12GB · 2x RTX 3090 · 2x RTX 5070 Ti · 2x Tesla V100 32GB · 4x Apple M5 Ultra · Apple M3 Ultra · Apple M5 Ultra · DGX Spark (GB10) · Intel Arc Pro B70 · RTX 3060 12GB · RTX 3090 · RTX 4060 Ti 16GB · RTX 4090 · RTX 5060 Ti 16GB · RTX 5070 Ti · RTX 5090 · RTX Pro 6000 Max-Q (Blackwell, 96 GB, 300 W) · RTX Spark N1X · Radeon AI Pro R9700 · Strix Halo (Radeon 8060S)
Other models measured on Apple M2 Ultra: Ornith 1.5 35B-A3B · gpt-oss 120B · gpt-oss 20B
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