PCMag Australia’s review describes a capable, comparatively portable workstation with excellent display measurements and long video-playback endurance. Its findings also expose the important qualifications: high prices, uneven Windows-on-Arm compatibility, and performance that frequently trails the tested Apple MacBook Pro.
The central question is not whether this laptop can run local AI. It is whether its particular combination of memory, software support and performance justifies the premium for your work.
Unified memory is the real architectural attraction
Nvidia lists two laptop versions of the RTX Spark N1X: an 18-core Grace CPU paired with a 5,120-core Blackwell GPU, and a 20-core CPU paired with a 6,144-core GPU. Both have a specified 45–80W power range. The larger version supports up to 128GB of unified memory; the smaller tops out at 32GB. Nvidia also lists CUDA and its AI software stack among the platform’s supported technologies.
PCMag explains that the shared-memory architecture lets the CPU and GPU work from a common pool rather than treating system RAM and dedicated graphics memory as separate islands. For local inference, that potentially makes memory capacity a more compelling feature than the headline processing figure.
That distinction matters. Loading a larger model and generating responses quickly are related but different achievements. A configuration that accommodates a workload does not automatically finish it faster than every competing machine.
Nor should the advertised peak AI figure be mistaken for an application benchmark. Nvidia’s specification table lists up to one petaflop, but that number alone does not establish response latency, sustained generation speed or creative-application performance.
Takeaway: Treat memory capacity as a workload-enabling feature, not a universal speed guarantee.
Configuration choices hide a display trade-off
PCMag reports four principal configurations, with U.S. prices ranging from $2,799.99 to $6,999.99. Its $4,399.99 review unit combines the 20-core processor, larger GPU, 64GB of unified memory and a 1TB SSD—but uses a 3K OLED rather than the 4K panel described for some less expensive configurations.
Those are the review’s quoted prices, not a guarantee of a particular retailer’s current checkout total.
ASUS’s October 16, 2026, U.S. launch announcement adds useful detail: its configuration table includes two separate 64GB/1TB versions, one with a 3K display and another with 4K. It identifies five P16 SKUs overall and lists the P16’s starting MSRP as $2,799.99; the announcement’s $2,599.99 starting figure covers the broader P16/P14 launch, with the P14 specification table carrying that lower price.
The practical lesson is straightforward: “ProArt P16 with 64GB” is not a complete specification. Confirm the exact SKU, panel and processor variant before comparing prices.
What PCMag’s performance results actually show
The review’s 64GB machine performed well, but did not sweep the competition.
PCMag reports a Cinebench 2024 score just below 1,600 and a HandBrake conversion time of slightly more than two minutes for its 12-minute, 4K-to-1080p workload. The latter finished five seconds ahead of the tested MacBook Pro with M5 Max. Apple led most of the other CPU comparisons described in the review.
The local-AI results tell a similarly qualified story:
| PCMag workload | ProArt P16 result | Interpretation |
|---|---|---|
| Llama 3.1 8B Instruct | 53 tokens per second | Close to the tested Surface Laptop Ultra’s 56 |
| Llama first-token latency | Below half a second | Quick initial response in that test |
| Phi 4 Reasoning 14B | 27 tokens per second | Behind the Surface’s reported 31 |
| Most demanding “Class 3” workloads | Not tested on this configuration | No measured basis for extrapolating flagship performance |
PCMag’s tested MacBook Pro generated 105 tokens per second in the Llama workload and approximately twice the ProArt’s rate in the reasoning test.
These are results for particular models, prompts, software environments and configurations—not permanent rankings for every AI application. Importantly, the review’s discussion of the 128GB flagship should not be confused with hands-on results from that machine.
There are also gaps in the conventional workstation picture. PCMag omitted PCMark 10 and its Photoshop PugetBench test because of Arm-related compatibility issues in its setup. It published synthetic graphics results but no gaming benchmarks. Those omissions do not invalidate the completed tests; they limit what those tests can prove.
Windows compatibility deserves its own checklist
The most useful additional context comes from Microsoft’s documentation: Prism emulates x86 and x64 applications, but it does not emulate drivers. Kernel-mode components must be compiled for Arm64. Microsoft also notes that some Prism optimizations depend on Snapdragon-specific hardware, so general Prism availability should not be read as a promise of identical behavior across every Arm platform.
For a prospective ProArt buyer, that translates into three checks:
- Confirm support for the exact creative applications and plug-ins you use.
- Verify Arm64 support for any required hardware drivers or low-level software.
- Test the intended AI runtime and model—not merely whether the application installer opens.
These are purchasing recommendations, not findings from firsthand WindowsForum testing. They follow from Microsoft’s documented distinction between application emulation and driver support.
ASUS adds two practical boundaries of its own: this model’s drivers require Windows 11 version 24H2 or later, and its M.2 slots support only single-sided SSDs. Those details matter when planning an organizational image or a storage upgrade.
A strong display and endurance—with defined limits
PCMag measured 100% sRGB and DCI-P3 coverage, 96% Adobe RGB coverage, and more than 400 nits of SDR brightness on its 3K review unit. Those are encouraging gamut measurements, although gamut coverage alone should not be treated as a complete assessment of calibrated color accuracy.
Its battery result was 16 hours and 26 minutes, using local 720p video playback with Wi-Fi and keyboard lighting disabled. That is useful evidence of playback endurance, not a forecast for continuous inference, rendering or video export. PCMag also acknowledged that it had not independently established equivalent performance on battery and AC power.
ASUS specifies three 40Gbps USB4 Type-C ports, USB-A, HDMI 2.1, an SD Express 7.0 reader and a 99.9Wh battery in a 3.9-pound chassis. Its listed 140W power adapter uses USB-C, so charging occupies one of those connections.
The verdict: buy for a validated workload
The ProArt P16’s strongest argument is not that it wins every benchmark. PCMag’s results say otherwise. It is the combination of substantial shared memory, capable local inference, a high-quality OLED and a relatively portable workstation design.
For developers and creators whose required software works well on this platform, that combination deserves attention. For buyers expecting a completely interchangeable replacement for an established x86 workstation, compatibility validation belongs ahead of the purchase order.
The sensible approach is to choose the model and workflow first, then the laptop configuration. Otherwise, an expensive AI workstation risks becoming a very elegant way to discover that one indispensable driver never made the trip to Arm.