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Apple Mac Studio with M5 Ultra belongs in this comparison for one reason: local AI is often limited by memory capacity and bandwidth, not a marketing TOPS number. The M5 Ultra offers 1.2 TB/s of unified-memory bandwidth and configurations from 96 GB to 512 GB. That makes it a fundamentally different proposition from the four 128 GB, 273 GB/s GB10 appliances.
Apple offers a 30-core CPU and 64-core GPU as the starting M5 Ultra, with a configurable 36-core CPU and 80-core GPU. Both include a 32-core Neural Engine, while Apple’s newer GPU cores contain neural accelerators. Storage options run from 1 TB to 16 TB depending on configuration, including 4 TB. The phrase “Mac Studio M5 Ultra 4 TB” is therefore incomplete: memory can be 96, 256 or, with the higher GPU configuration, 512 GB, and the price changes substantially.
For local language models, the most important published numbers are memory capacity and bandwidth. Tom’s Hardware tested a 36-core CPU, 80-core GPU and 256 GB review unit and found prompt processing faster than DGX Spark and token throughput almost four times higher in its Qwen 27B test. That result is meaningful for the tested model and software, not a universal ratio. The site also measured a 2,983 MB/s 25 GB file copy and stable ten-run Cinebench behaviour. In general workstation tasks, the same unit led its comparison in Geekbench 7 and Handbrake but lost CPU Blender rendering to large Threadripper and Xeon systems.
Software is the decisive caveat. Mac Studio uses macOS, Metal and frameworks such as MLX; it does not provide CUDA. Models and tools optimized for Apple silicon can run exceptionally well, but CUDA-only training code, NVIDIA containers and enterprise deployment workflows may require adaptation or another system. Conversely, creators gain mature media engines, six Thunderbolt 5 ports, 10GbE, HDMI, SDXC and support for up to eight displays in the M5 Ultra configuration.
Apple announced availability from September 22, 2026. The M5 Ultra starts at $5,499 in the US, excluding tax, but that is not the price of a fully upgraded 4 TB configuration. An official UK education configurator showed £11,219 for a 36/80-core, 256 GB, 4 TB system; education pricing and UK VAT make that unsuitable as a global benchmark. The 512 GB option was announced for late October and was not yet a normally deliverable comparison configuration on the article’s evidence date.
Early reviewer and owner feedback is positive about local-model speed, silence and the ability to hold very large models, but debates about value and software support remain intense. Community benchmarks vary with MLX, llama.cpp, LM Studio, model format and Metal optimizations. Record the exact runtime and model file before comparing any tokens-per-second number.
Mac Studio is the strongest choice here for high-bandwidth local inference, very large memory configurations and mixed creative/AI work—provided the required stack runs on macOS. The GB10 systems remain better aligned with CUDA, DGX OS and NVIDIA data-centre deployment. Read AI Accelerators Beyond TOPS and compare every system in the local AI workstation guide.
