ARM laptops with Snapdragon processors focus on AI features and autonomy. But with games, judging by a recent report by The Wall Street Journal, everything is far from being so rosy. The publication told what difficulties gamers who purchase such equipment will have to face.
According to the source, the problem lies in the emulation of x86 software on the ARM platform: it is used to run applications that have not yet been adapted to the new Architecture. According to journalists, this technology not only reduces the performance of applications, but also causes various failures.
Most often, errors occur with anti-cheats for competitive titles — for example, League of Legends or Fortnite. Even if the game itself is adapted to run on ARM laptops, the developers do not give such a guarantee for auxiliary software. Qualcomm claims to be working with game studios to solve this problem but admits that Copilot+-enabled computers should not be considered a gaming platform.
Flagship action camera model compatible with ND filters and new set HB series lenses, including macro, ultra-wide, and anamorphic (sold separately). HERO13 Black is responsible for battery life a 1900 mAh battery that provides up to 2.5 hours of continuous recording on a single charge.
Only Mac users can run games on ARM chips relatively successfully so far – Apple has a tool in its arsenal which helps developers port games to macOS. In addition, the company cooperates with major publishers: games from the popular Resident Evil series and Assassin’s Creed is available now on iPhone, iPad, and Mac.
Artificial intelligence (AI) and network-heavy CPU workloads are placing additional strains on laptops. While traditional CPU architectures struggle to bridge the performance gap, Arm’s efficient, performant, and secure CPUs are making tomorrow’s use cases possible in Windows on Arm devices and Chromebooks.
The Armv9 architecture comprises PAC and MTE and offers class-leading protection across all devices, while our new Arm CSS for Client lays the foundation to bring on-device generative AI to life.
