Testing pushed past compact dense models like Qwen 3.8 27B to saturate the massive memory pool with cutting-edge large architectures such as DeepSeek V4.1 Flash 1017 and GLM 5.3 Flash. Using Artificial Analysis' AgentPerf-Local benchmark via llama.cpp, the M5 Ultra's 80-core GPU and 1.2 TB/s decode bandwidth were put up against Nvidia's DGX Spark platform, which utilizes 48 Blackwell SMs and 273 GB/s of memory bandwidth.
While the Mac hardware shows staggering raw specs, local AI enthusiasts must weigh the $12,300 price tag against practical agentic task performance and delivery times. Buyers looking to run massive unquantized models locally should monitor upcoming llama.cpp backend updates and verify real-world token throughput before placing orders.
