Mac Studio vs ASUS ProArt GR1X: Is Windows Finally Ready to Challenge Apple for Local AI?

Not yet, for most people. Windows is a credible challenger now, but not a finished one. The ASUS ProArt GR1X brings NVIDIA's RTX Spark chip and 128 GB of unified memory to a Windows 11 mini PC, with CUDA, NVIDIA's AI tools and Windows apps. But Windows on Arm is still young for AI work. CUDA on it is a developer preview, vLLM doesn't run natively, and some tools are blocked or still being ported. A Mac Studio M5 Max with 128 GB has about twice the memory bandwidth and runs on a platform that has been Arm-native since 2020. Pick the GR1X if you need NVIDIA or Windows. Pick the Mac if you want the more mature setup today. No independent GR1X benchmarks exist yet, so everything below about its speed comes from RTX Spark laptops.

How do the Mac Studio and the GR1X compare?

Source: Apple specifications and Support power figures; ASUS product page and tech specs; facts as of 8 Nov 2026. *Calculated from Apple Singapore's upgrade pricing — confirm on apple.com/sg. **SourceIT estimate based on comparable RTX Spark devices, not an official ASUS price; the comparables are below. SourceIT has not tested either machine.

Which is faster for local AI?

For generating text, the Mac should be faster. Token generation depends mostly on memory bandwidth, and the M5 Max has about 2.05 times the RTX Spark's figure. HardwareZone Singapore compared a MacBook Pro M5 Max with the ASUS ProArt P16, a laptop with the same RTX Spark chip. The Mac was about twice as fast at generating tokens on a 9B model and also faster on a 27B model. The P16 was faster at prompt processing, and on a 50-page document the total times came out about equal. HardwareZone didn't publish the raw numbers.

The GR1X runs at 140 W, more than the 45–80 W the laptops get, but because token generation is limited by bandwidth (about 300 GB/s on every RTX Spark system), the extra power is more likely to help prompt processing, image generation and rendering than chat speed. That is an inference, not a measurement, because no GR1X benchmarks have been published.

Capacity is similar at 128 GB. Both fit 120B-class mixture-of-experts models at 4-bit. Neither fits the largest open models. For more on that, see our post on whether 128 GB is still enough.

Is Windows on Arm ready for AI developers?

It's getting there, with gaps you should check before buying:

• CUDA runs on Windows on Arm as a developer preview limited to RTX Spark. NVIDIA warns that some PyTorch workflows can trigger GPU timeouts.
• vLLM has no native Windows support. It runs under WSL2 or through an early community Arm64 port that supports one model.
• Docker with GPU has no public validation on RTX Spark yet.
• Smart App Control blocked unsigned llama.cpp builds in XDA's testing, while Ollama ran normally.
• Linux isn't an option: RTX Spark devices ship with Windows only, and NVIDIA hasn't committed to Linux drivers.

The upside is CUDA itself. Code written for NVIDIA here is closer to what runs on NVIDIA servers, and NVIDIA's Windows AI tools target the chip directly. If your production systems are on Linux with CUDA, a GB10 machine such as the DGX Spark gives you the full stack; our post on RTX Spark vs GB10: Windows vs Linux covers that choice.

The Mac has its own gaps: no CUDA, no TensorRT-LLM, no GPU in Docker containers, and some PyTorch features missing. But its local AI tools (MLX, llama.cpp, Ollama, LM Studio) are mature on macOS, and the official vllm-metal plugin for vLLM arrived in September 2026. Our post on CUDA versus MLX goes deeper.

The Mac is the more finished platform today. The GR1X is the bet that Windows and CUDA on Arm will catch up.

What about creators?

Mac: creative apps on macOS have been Arm-native for years, including Apple's Final Cut Pro and Logic Pro, Adobe's main apps and DaVinci Resolve. Thunderbolt 5 suits fast external storage and capture devices.

GR1X: NVIDIA says Photoshop, Premiere and Substance run "up to 2x" faster on RTX Spark, a vendor claim not yet confirmed by independent tests, and some Adobe AI features are still in beta. ASUS includes three months of Adobe Creative Cloud and has a partnership with ComfyUI, though ComfyUI's native Arm64 installer was still an open pull request in early November. Windows on Arm runs most x64 apps through Prism emulation, but not kernel drivers, so check specialist plug-ins, hardware drivers and anti-cheat. Notebookcheck found Call of Duty, F1 25 and Battlefield 6 wouldn't run on RTX Spark. Our Windows on Arm app compatibility guide lists what to check.

How do the prices compare?

ASUS hasn't published a GR1X price. Our estimate for 128 GB / 2 TB is about S$9,000–10,800, and about S$6,200–7,200 for 64 GB / 1 TB (SourceIT estimate based on comparable RTX Spark devices, not an official ASUS price). The comparables: the ASUS ProArt P16 laptop with the same chip and 128 GB is S$10,773.20 on our shelf, and the ASUS Ascent GX10 128 GB / 2 TB (GB10) is S$10,500 (both listed 8 Nov 2026).

The Mac Studio M5 Max with 128 GB and 1 TB comes to about S$7,849 configured (calculated from Apple Singapore's upgrade pricing — confirm on apple.com/sg); the base M5 Max is S$3,499 at Apple Singapore's list price. If the GR1X lands in our estimated range, the Mac would cost less at 128 GB, though with half the storage. A fair comparison needs ASUS's real price.

Which should you choose?

Choose the GR1X if you need Windows apps or CUDA, want code that is closer to NVIDIA deployments, can wait for the software to mature, and are prepared to check your tools against Windows on Arm first.

Choose the Mac Studio if you want faster text generation from the same 128 GB, a mature Arm platform for creative work, Thunderbolt 5, and the option of more memory on the M5 Ultra. For the wider view, see three ways to run AI without the cloud and which will be obsolete first.

Buying in Singapore

The Mac Studio M5 Max 128 GB / 1 TB is price on request; ask us for a quotation. See the ASUS ProArt GR1X range and contact our ASUS team for pricing and project quotes; we can check your software list against Windows on Arm before you commit. For RTX Spark in a laptop, the ASUS ProArt P16 128 GB is S$10,773.20 (listed 8 Nov 2026). Prices change, so ask for a current quotation. Use Request for Quotation on the product page, call (65) 6978 3502, email Sales@sourceit.com.sg or use our contact page.

Frequently asked questions

Is the ASUS ProArt GR1X faster than a Mac Studio for AI? No GR1X benchmarks exist yet. On laptops with the same chip, a MacBook Pro M5 Max generated text about twice as fast, while the RTX Spark laptop was faster at prompt processing.

Does the GR1X run CUDA? Yes, but CUDA on Windows on Arm is still a developer preview, and vLLM runs only through WSL2 or a community port.

Can the GR1X run Linux? Not officially. RTX Spark devices ship with Windows only, and NVIDIA hasn't committed to Linux drivers for the chip.

Will my Windows apps run on the GR1X? Most x64 apps run through Prism emulation, but kernel drivers, some plug-ins and anti-cheat need native Arm64 versions. Check your list before you buy.

How much will the GR1X cost in Singapore? ASUS hasn't published a price. Our estimate is about S$9,000–10,800 for 128 GB / 2 TB, based on comparable RTX Spark devices; it is not an official ASUS price.