Nvidia N1X ARM Chip: A New Era for Integrated Graphics and AI PCs

By futureTEKnow | Editorial Team

KEY POINTS

Nvidia is developing the N1X ARM-based chip, featuring a 20-core CPU and an integrated GPU with 6,144 CUDA cores, matching the desktop RTX 5070 in core count.
Early benchmarks show GPU performance better than all current integrated graphics, but still lagging behind mid-tier discrete GPUs—about 25% of the RTX 5070, comparable to an RTX 2050 on Geekbench.
Windows 11 and Linux compatibility is confirmed, but the consumer launch was delayed to 2026 due to OS and supply chain issues, with a debut likely at CES 2026.

Next-Gen ARM Innovation

Nvidia’s N1X has burst onto the scene with benchmark results and leaks showing off its groundbreaking ARM-based system-on-chip (SoC). The chip brings together 20 cutting-edge CPU cores (using the Grace architecture) and a formidable integrated GPU with 48 streaming multiprocessors (SMs)—equating to 6,144 CUDA cores, the same configuration as the desktop RTX 5070. The platform is targeting not just traditional laptops and desktops, but also sets the stage for ultra-efficient AI PCs.

Impressive Specs: More Than Just Core Counts

What really sets the N1X apart is its integration of RTX 5070-level graphics in an SoC format. Despite sharing core counts with its desktop cousin, there are notable differences:

GPU clock speeds are significantly lower on current N1X engineering samples (around 1,048 MHz, 58% lower than a true desktop 5070).
The N1X runs its CPU and GPU from a shared 120W TDP, compared to the RTX 5070’s 250W (for the GPU alone).
The platform uses LPDDR5X memory (up to 128GB on a 256-bit interface) instead of the GDDR7 found in discrete GPUs.

This power-efficient design aims to deliver high-end AI and content creation performance in portable, thin-and-light designs.

Real-World Performance: Progress and Potential

Early Geekbench and FurMark benchmarks demonstrate that the N1X’s integrated graphics can outperform every current iGPU (including Apple’s M3 Max and AMD’s 890M), yet it falls short of discrete RTX 50-series GPUs:

OpenCL scores of 46,361 put it well above other integrated GPUs, but only at about a quarter of the RTX 5070’s traditional performance.
Early FurMark results also show performance running about 63% of what’s possible—mainly due to unoptimized drivers and early silicon constraints.

These numbers are expected to rise as Nvidia optimizes drivers and firmware ahead of the official launch.

Timing and Windows Compatibility

The rumored release timeline has been pushed forward to early 2026 due to a combination of Microsoft’s next-gen Windows OS delays, ongoing tweaks to the SoC, and softer notebook demand. Early testing has already confirmed successful Windows 11 support, solidifying Nvidia’s ambitions in Windows-on-ARM territory. Consumer models are expected to follow after initial enterprise-focused hardware.

Challenges and Competitive Landscape

Despite its architectural promise, the N1X faces a competitive field with AMD’s Strix Halo, Apple’s upcoming M4 series, and Qualcomm’s Snapdragon X lineup all pushing the boundaries of AI and efficiency. Moreover, real-world gaming and application compatibility on Windows ARM will play a crucial role in its mainstream acceptance.

Nvidia’s N1X marks a bold experiment in pushing integrated graphics and ARM CPUs into the performance realms once considered exclusive to discrete GPUs. While current benchmarks highlight the challenges of driver maturity and power balancing, the combination of RTX-class iGPU power, energy efficiency, and AI features positions it well to disrupt laptop and compact desktop markets in 2026 and beyond.