Apple’s new Mac Studio with the M5 Ultra chip is making waves, with initial benchmarks putting its GPU and AI capabilities in the same league as high-end desktop graphics cards like Nvidia’s RTX 5080. That’s a substantial claim, especially given Apple’s integrated architecture and increasing focus on AI workloads.
What Benchmarks Reveal
Early testers using Geekbench 7 ran the Metal GPU benchmark and recorded scores in the 350,000–360,000 range for M5 Ultra. By comparison, the previous flagship, Mac Studio with M3 Ultra and 80 GPU cores, managed about 249,500 under the same test, demonstrating a major leap forward in raw performance. When switching over to OpenCL scores—a more cross-platform GPU benchmark—the RTX 5080 achieves around 250,700, while M5 Ultra clocks in at about 210,000–220,000. That falls short of the 5080, but still outpaces the M3 Ultra’s ~140,800 OpenCL score by a wide margin.
Why the M5 Ultra Matters
A single-chip setup like M5 Ultra delivering Metal scores close to that 350K+ range is notable. Metal is Apple’s high-efficiency graphics API, optimized for macOS, providing a more direct comparison for Apple Silicon chips. The M5 Ultra in Mac Studio seems to be narrowing the gap between integrated GPU performance and discrete cards for tasks like rendering, simulation, and AI inference—areas typically dominated by desktop GPUs.
Even though the M5 Ultra falls short of the RTX 5080 under OpenCL benchmarks, the disparity under Metal shows where Apple’s tight hardware-software integration gives it an advantage. For workflows that can leverage Metal—video editing, 3D rendering on Apple platforms, certain machine learning tasks—this performance could rival multi-thousand-dollar graphics cards with higher power usage and thermal demands.
What to Keep in Mind
Not all users will care about benchmark numbers, but for professionals doing AI work, video production, and 3D rendering, these metrics matter. Mac Studio’s improvements in GPU and AI performance stem from architectural enhancements in M5 Ultra, which boost both throughput and efficiency.
However, benchmarks don’t always translate perfectly to real-world performance. It remains to be seen how sustained workloads behave—whether thermal throttling, driver support, or cross-platform compatibility come into play under heavy load or in non-Metal environments.
Late 2026 is shaping up as a strong year for Mac Studio. If these early results hold during prolonged use, Apple may be closing the gap with discrete GPUs, especially for creatives and AI devs. We’ll continue testing to see whether M5 Ultra can displace mid-range RTX cards in actual work scenarios—and whether that redefines what people expect from desktop performance on integrated chips.
