First Xiaomi, then the world: why Arm might give phone gaming a huge graphics boost



China is getting first crack at a British technology that might change how mobile games are made and played. Today, the Xiaomi 18 Fold launches in mainland China with an Arm Mali G2-Ultra NX graphics processor inside its custom Xring O3 chip . What’s so special about that? After five years of development, Arm now has an AI gaming graphics accelerator inside its GPU.
By following Nvidia’s playbook, Arm-powered phones are about to have PC-like technologies to make games run faster, at higher resolution, with advanced lighting techniques, all without using more power than they do today. The jagged edges you see in the mobile versions of popular games might begin to go away.
And these advancements won’t just be locked to Chinese phones. The chips, devices, and games are already inbound.
“You will be able to buy it; you will be able to get it in phones next year, you will be able to get it in other types of larger screen devices, whether that be tablets or Chromebooks,” Arm’s Chris Bergey, EVP of Edge AI, tells The Verge in an interview.
While he can’t say which other devices will contain the Mali G2-Ultra NX, he hints that some of Google’s upcoming Googlebooks might use this graphics tech as well.
“We think it’s going to be huge,” Bergey tells me.
DLSS for Android
There are two ways to look at Arm’s new Arm Mali G2-Ultra NX. One is that it’s stronger than prior mobile GPUs, period, with an alleged 85-percent performance increase over the GPU that Xiaomi was using previously, and a 14 percent increase over Arm’s previous flagship in “non-AI gaming.”
But the other, more important way is that it enables a suite of hardware-accelerated graphical techniques that sound very similar to Nvidia’s DLSS, including AI upscaling (where it imagines a higher-resolution image), frame generation (where it generates new “fake” frames between existing ones), and even ray reconstruction like Nvidia’s DLSS 4.5 .

Arm is calling all of these techniques “neural graphics,” but it doesn’t mean quite the same thing as when Nvidia uses that term — we’re not talking about enhancing faces by reimagining how light and shadow work , at least not just yet.
Verified source · The Verge
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