It’s pretty much up a toss-up, but when you consider past performance, this is a big win for AMD. With the improved IPC efficiency of the Ryzen 7 5800U we now find AMD slightly ahead-about 6 percent faster than the 11th gen Core i7-1185G7 chip. This is a test where the 11th-gen Intel CPU outshines AMD’s previous Ryzen 7 4800U by a compelling 18 percent. For that task, we used PCMark 10 Applications, which runs Microsoft Word, Excel, PowerPoint, and Edge through scripted tasks. Nothing says ‘mundane’ like the Microsoft Office chores that fill the day for many office drones. One argument that Intel has made (and we largely agree with) is most people use very light laptops for doing very mundane things-not running 3D modelling or encoding hours and hours of video. Shorter bars indicate better performance. The one variable we don’t consider here is the output quality between them, but that’s for another story. For the Intel CPU, we used QuickSync, and for the AMD CPU we use VCE.īoth make quick work of the task, but the winner is the Ryzen 7 5800U, which crosses the finish line 15 percent sooner than the Core i7-1185G7. To measure both laptops, we installed the latest final public version 1.3.3 of HandBrake, and then had both encode the open-source 4K Tears of Steel video using the HEVC codec to 1080p resolution at 60 fps. There’s an argument that CPU-encodes always yield the best output, but for most people, using the chip’s integrated hardware media encoders in the GPU is the way to go. The 8-core Ryzen 7 5800U finishes the encode 32 percent faster than the Core i7-1185G7. What’s more important for AMD, though, is it continues to rule tasks that want more cores. The ZenBook just doesn’t get that loud, which tells us Asus may not crank the fans as hard as the Lenovo Slim 7 does. Why didn’t the newer Ryzen 7 5800U prevail? We suspect what we’re seeing here is a result of the cooling subsystem of both Ryzen laptops at play. 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. Dell XPS 13 2-in-1 7390 has a four-core 10th-gen Core i7-1065G7, Iris Plus 940 graphics, 16GB of LPDDR3/3777, 512GB PCIe 3.0 SSD, 13.4-inch FHD+ screen, and lap weight of 2.9 pounds.
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