Nvidia RTX Spark Surface Laptop Ultra vs Apple M5 Pro MacBook Pro: A Costly AI Laptop That Struggles to Keep Up
Nvidia’s RTX Spark platform arrived with big promises: powerful AI performance, unified memory, and a new class of creator-focused Windows laptops built around the Grace CPU and Nvidia graphics architecture. Microsoft’s Surface Laptop Ultra is one of the most high-profile devices using this hardware, and on paper, it looks like a serious workstation-class machine.
But real-world testing tells a more complicated story.
The Surface Laptop Ultra tested with the RTX Spark Superchip features a 20-core Nvidia Grace CPU, a GPU with 6,144 CUDA cores, and up to 128 GB of LPDDR5X unified memory. That sounds impressive, especially for users interested in AI workloads, creative production, video editing, and professional multitasking. However, when compared with Apple’s M5 Pro MacBook Pro, the results are surprising.
Despite costing significantly more, the Surface Laptop Ultra often falls behind Apple’s M5 Pro-powered MacBook Pro in CPU benchmarks, creative applications, GPU-heavy workloads, and even several AI-related tasks.
In CPU performance, the MacBook Pro with the M5 Pro chip consistently delivered stronger results than the Surface Laptop Ultra. Tests across Cinebench 2026, Cinebench 2024, and Blender showed the Apple laptop ahead in multiple scenarios, even though the Surface model had more memory and a much higher price tag.
The Surface Laptop Ultra also struggled against other high-performance Windows laptops in some tests, including systems powered by Intel’s Core Ultra 9 275HX and AMD’s Ryzen AI Max+ Pro 395. That puts Nvidia’s new RTX Spark laptop platform in a difficult position, especially for buyers expecting top-tier workstation performance.
Creative workflows are where things get even more interesting. The Surface Laptop Ultra was tested in popular productivity and content creation apps, including Adobe Photoshop, Adobe Lightroom, Premiere Pro, DaVinci Resolve Studio, and AI-based workloads.
In Photoshop and Lightroom, the Surface Laptop Ultra trailed behind the M5 Pro MacBook Pro by a noticeable margin. Photoshop performance was particularly disappointing, with the Surface device landing behind competing laptops using Intel and AMD chips. For photographers, designers, and digital artists, this could be a major concern, especially given the premium pricing.
Video editing results were also not in Nvidia’s favor. In Premiere Pro and DaVinci Resolve Studio, the Surface Laptop Ultra’s CUDA-based GPU could not consistently outperform the M5 Pro’s integrated graphics. The M5 Pro MacBook Pro proved faster in several key tests, despite using less power.
There are some important details to consider here. Premiere Pro is not fully optimized for RTX Spark yet, which may be holding back performance. DaVinci Resolve, meanwhile, is known to run extremely well on Apple Silicon. That gives the MacBook Pro a real advantage in video editing workflows today.
Still, for buyers comparing laptops right now, current performance matters more than future potential.
The biggest surprise comes from AI workloads. Nvidia has positioned RTX Spark as a strong platform for local AI tasks, making it appealing for developers, researchers, and creators working with large language models. With 128 GB of unified memory, the Surface Laptop Ultra appears to have a clear advantage over the tested M5 Pro MacBook Pro with 64 GB of memory.
However, testing with GGUF-based language models showed mixed results. The Surface Laptop Ultra managed to beat the M5 Pro MacBook Pro in only one lighter model test, specifically Qwen 3.8 Q4. Once heavier models were introduced, including Q8 workloads, the M5 Pro pulled ahead again. As workloads increased, Apple’s chip continued to show stronger efficiency and performance.
This is a major point because the RTX Spark platform is supposed to shine in AI-focused tasks. While the hardware may improve with better software support over time, the current experience does not consistently justify the price difference.
And that price difference is hard to ignore.
The tested Microsoft Surface Laptop Ultra configuration costs around $5,900. The M5 Pro MacBook Pro used for comparison costs around $3,700. That means the Surface Laptop Ultra is roughly $2,200 more expensive while often delivering weaker results in CPU performance, creative apps, video editing, and several AI tests.
For creators, developers, and professionals, that makes the value proposition difficult. Paying more usually means expecting better performance, better efficiency, or a major workflow advantage. In this case, the M5 Pro MacBook Pro appears to offer the stronger overall package for many users.
That does not mean the Surface Laptop Ultra is without strengths. Nvidia’s RTX Spark platform still has potential, especially as software becomes better optimized for the new architecture. Future updates may improve performance in creative tools, AI frameworks, and professional applications. Gaming-related performance may also be more favorable to the Nvidia-powered machine, with early results suggesting performance close to RTX 5060 or RTX 5070 laptop GPUs in certain scenarios.
The Surface Laptop Ultra may also appeal to users who specifically need Windows, CUDA compatibility, and a large pool of unified memory for experimental AI workloads. For developers building around Nvidia’s ecosystem, those factors could still matter.
But for most buyers looking at performance per dollar, Apple’s M5 Pro MacBook Pro currently looks like the smarter choice. It delivers stronger results in many real-world workloads, costs far less, and benefits from mature optimization across macOS creative software.
The RTX Spark Surface Laptop Ultra is ambitious, powerful on paper, and potentially important for the future of AI laptops. But based on current performance, it does not yet live up to its premium price. Until software support improves, the M5 Pro MacBook Pro remains the more compelling option for creators and professionals who want fast, efficient, and reliable performance today.
