u/Snapdragon

Hey r/Snapdragon!

We’re tech analysts Max Weinbach and Ryan Shrout.

We’ve looked at the benchmarks for the next-generation Snapdragon X2 Elite. Frankly, the numbers are fascinating. This chip is a massive milestone for the PC industry, showing results that push the limits of the architecture, redefine what we should expect from NPU performance, and challenge the traditional power-to-efficiency ratios that have dominated PCs for decades.

Drop your questions in the thread — let’s get into it.

Join us here live on July 7 at 8:30 AM PDT

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Coming out of COMPUTEX, we dropped a mix of updates across PCs, AI, and devices, so here’s a quick recap of everything we shared:

• We launched a new platform called Snapdragon C, aimed at more accessible laptops. The idea is pretty simple: solid performance + long battery life for everyday use, not just premium devices. First devices are already rolling out (like Acer Aspire Go 15). Learn more: Introducing Snapdragon C: Designed to Revolutionize Entry-Tier Laptop Experiences | Qualcomm
• On the higher end, there’s continued momentum with Snapdragon X Series PCs. New devices are coming in different form factors, including 2-in-1s, and there are now 20+ Copilot+ PCs using X2 Series chips across partners like ASUS, Lenovo, and HP.
• One of the more interesting form factor shifts: mini PCs. ASUS introduced the Ascent QN10, which is basically a compact desktop powered by Snapdragon X2 Elite (the debut of the processor in this form factor), with an NPU capable of ~80 TOPS. Full details: ASUS Ascent QN10: The First Snapdragon X2 Elite Mini-PC
• The big picture takeaway from Qualcomm President and CEO Cristiano Amon's keynote: 2026 is shaping up to be the “year of agents.” The idea is that AI is moving beyond prompt/response and into systems that can actually take action across devices (PC, phone, wearables, etc.). Watch his full presentation here: COMPUTEX 2026: Qualcomm CEO Cristiano Amon Keynote
• Out of COMPUTEX, there’s also a lot of discussion around how AI scales from here. Instead of just throwing more hardware at the problem, the focus is shifting toward:
  • better performance per watt
  • more efficient inference
  • distributing AI workloads across device + edge + cloud

Overall, things are moving away from single-device experiences toward something more connected and continuous across everything you use. Curious how people here are thinking about this—especially around device vs. cloud tradeoffs.

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