It means it’s only one generation behind Apple in ML performance instead of two or three.
Serious answer: it means it has intel’s latest generation of laptop chips with better ML acceleration, and — better sit down for this cuz it’ll blow your mind — a Copilot key on the keyboard, which nobody outside of Microsoft’s branding department ever asked for.
I’ll be interested to see the benchmarks. Intel should be tripping over themselves to catch up.
The “AI PC” specification requires a minimum of 40TOPs of AI compute which is over double the 18TOPs in the current M3s. Direct comparison doesn’t really work though.
What really matters is how it’s made available for development. The Neural engine is basically a black box. It can’t be incorporated into any low level projects because it’s only made available through a high-level swift api. Intel by comparison seems to be targeting pytorch acceleration with their libraries.
It means it’s only one generation behind Apple in ML performance instead of two or three.
Serious answer: it means it has intel’s latest generation of laptop chips with better ML acceleration, and — better sit down for this cuz it’ll blow your mind — a Copilot key on the keyboard, which nobody outside of Microsoft’s branding department ever asked for.
I’ll be interested to see the benchmarks. Intel should be tripping over themselves to catch up.
I wouldn’t have had room for a Super or Hyper modifier key in Linux without Microsoft getting the Windows key added to keyboards, so…
The “AI PC” specification requires a minimum of 40TOPs of AI compute which is over double the 18TOPs in the current M3s. Direct comparison doesn’t really work though.
What really matters is how it’s made available for development. The Neural engine is basically a black box. It can’t be incorporated into any low level projects because it’s only made available through a high-level swift api. Intel by comparison seems to be targeting pytorch acceleration with their libraries.