![]() The winner here is actually the Lenovo Slim 7 and its 7-core Ryzen 7 4800U, but we can call its 5.7-percent edge a virtual tie. This task favors more cores, and because it takes so long to complete, laptops with better cooling tend to do better as well. Moving onto a more common multi-core task, namely a video transcode, we use an older version of the free HandBrake utility to convert a 30GB 1080p video file for Android tablet use. Put a fork in it, because it’s done in this department. You can see that clearly in the last 3D modelling result we show you: V-Ray Next 4.10 which puts the Ryzen 7 5800U 48 percent ahead of the Core i7-11857. We could run another five 3D modelling applications, but we don’t need to do that to tell us that if you need a laptop to give you more more multi-core performance, you simply want one with more cores in it. We’d also argue that newer CPUs may finally make such tasks feasible on smaller laptops. It’s a fair point, but we find it valuable to gauge multi-core performance. Intel is no fan of Cinebench, arguing that it’s of little value to look at 3D performance when so few people would do that on a sub-three-pound laptop. Based on the engine from its commercial Cinema4D, it’s a quick and easy way to gauge performance of a CPU using all of its cores and threads while rendering a 3D scene. ![]() We’ll kick off our performance testing with Maxon’s popular Cinebench R20. While we believe the laptops here yield generally representative performance for each CPU, you cannot separate the CPU from the motherboard and cooling system attached to it, nor the individual PC maker’s recipe for how to run that chip. That basically means you’ll get some laptops with the same CPU that might be slightly faster, or slightly slower. When you look at the performance charts below, remember that laptops aren’t as apples-to-apples comparable as desktops.
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