Super X vs. Super V: AMD and Intel Mobile Workstation Strategies Compared
Two chip makers can build toward the same goal, a genuinely capable mobile AI workstation in tablet form, and still arrive by completely different roads. Put the Super X and Super V side by side and you're not really comparing two products, you're comparing AMD's and Intel's competing bets on where mobile AI computing goes next.
A shared chassis, a deliberate divergence underneath
Both the Super X and Super V share the same 14-inch, 2880x1800 AMOLED foundation, the same 85.58Wh battery, the same Harman-certified dual speakers, and nearly identical 314 x 208 x 12.5mm dimensions. That shared chassis is what makes the comparison fair: neither platform is winning or losing because of a screen size advantage or a battery capacity gap. Whatever separates the two comes entirely from the silicon choice underneath, and each company's answer to that choice reveals a genuinely different strategy.
| Shared foundation | Super X | Super V |
|---|---|---|
| Display | 14" 2.8K AMOLED, 120Hz | 14" 2.8K AMOLED, 120Hz |
| Battery | 85.58Wh | 85.58Wh |
| Chassis size | 314 x 208 x 12.5mm | 314 x 208 x 12.5mm |
AMD's strategy: maximize the memory pool
AMD's Ryzen AI Max+ 395 in the Super X is built around one central bet: that the biggest constraint on local AI work isn't raw compute, it's memory. The Super X can be configured with up to 128GB of unified LPDDR5X-8000 memory, with as much as 96GB allocatable directly as VRAM, running across a 256 GB/s bandwidth pool shared between CPU and GPU. That's an enormous ceiling by mobile standards, one that lets the Super X handle local large language models that would simply refuse to load on a device with a conventional 16 or 32GB memory budget.

The tradeoff is that AMD's approach leans on raw headroom rather than specialized AI acceleration hardware baked into the graphics pipeline itself. The Radeon 8060S handles rasterized gaming performance well, roughly matching a discrete laptop GPU in independent testing, but it isn't built around dedicated frame-generation silicon the way Intel's newer Arc architecture is.
Intel's strategy: pair frame generation with a higher clock-speed platform
The Super V's Intel Core Ultra X7 358H takes a different bet, favoring architectural efficiency and dedicated AI acceleration over sheer memory ceiling. Its Arc B390 graphics, built on 12 Xe3 cores, was the first integrated GPU to support XeSS 3.0's multi-frame generation, and its NPU and GPU together push a combined 172 TOPS of AI throughput, split between 50 TOPS from the dedicated NPU and 122 TOPS from the GPU. Faster LPDDR5X-8533 memory, versus the Super X's 8000 speed grade, gives the CPU side a modest edge in workloads that lean on raw clock speed and latency rather than sheer capacity.
Where the Super X bets on headroom for the largest possible local models, the Super V bets on making every frame and every inference cycle count more efficiently, an approach that shows up clearly in gameplay: native rendering paired with XeSS multi-frame generation has taken titles running at a native 40-plus FPS up past 100 FPS in third-party testing.
| Strategy dimension | Super X (AMD) | Super V (Intel) |
|---|---|---|
| Peak configuration | Up to 128GB unified memory | Up to 172 TOPS combined AI throughput |
| Memory speed | LPDDR5X-8000 | LPDDR5X-8533 |
| AI acceleration approach | Maximize headroom for large local models | Dedicated NPU and GPU frame generation |
| Gaming approach | Raw rasterized performance | Native plus multi-frame generation uplift |
Which strategy fits which workstation buyer
Someone running the largest local language models they can fit, or doing creative work where dataset size matters more than raw frame rate, gets more direct benefit from the Super X's memory ceiling. Someone whose workload mixes real-time rendering, creative previews that need to feel responsive, or gaming sessions where frame rate at high settings matters more than absolute memory capacity, is better served by the Super V's frame-generation-first approach.
Neither strategy makes the other platform obsolete. They're two credible answers to the same underlying question, built by two chip makers who clearly don't agree on where the bottleneck in mobile AI computing actually sits.
Conclusion
The Super X and Super V share almost everything about their physical design and differ entirely in philosophy underneath it, AMD betting on memory headroom, Intel betting on efficient AI acceleration paired with frame generation. Full specifications for the ONEXPLAYER Super X and Super V are available on the official ONEXPLAYER store.
FAQ
Can Windows tablets really play large AAA games? Yes. Both the Super X and Super V have the hardware performance to run demanding titles like Black Myth: Wukong, Cyberpunk 2077, and Forza Horizon smoothly.
Do ONEXPLAYER devices support external monitors or eGPU docks? Yes, both models include full-featured USB4 with HDMI 2.1 output for external displays and eGPU docks such as the ONEXGPU 2.
How long can an ONEXPLAYER device run on a full charge? Expect roughly 3 hours of continuous demanding gameplay on either device, stretching to 4 to 6 hours or more for lighter games, creative work, or media.
Is ONEXPLAYER hardware reliable? ONEXPLAYER devices are built on a rigorous, fully managed production chain with consistent quality control, backed by a one-year warranty through the official store.
Pricing shown is subject to change; refer to the official ONEXPLAYER store for current pricing.