Geekbench score of Exynos 2200 with RDNA 2 Xclipse 920 GPU

Have you been searching for the latest processor by Samsung?

The first and the latest Geekbench 5 GPU compute benchmark fallouts for the recently exposed Exynos 2200 with RDNA GPU with the Samsung + AMD CPU RDNA 2-powered Xclipse 920 GPU disclose that the new processor dramatically outstrips Qualcomm’s Snapdragon 888 chip. The latter still cannot match Apple’s A15. Read all the tests as per information of pre-production hardware, take them with an ounce of salt.

Samsung CPU officially announced its, Exynos chip 2200 application processor numerous days ago, revealing all of its overall specifications, like the type of CPU cores and the image signal processor’s capabilities. However, it didn’t disclose particulars about perhaps the most stimulating aspect of the new chip — the Xclipse 920 GPU which is based on AMD’s RDNA 2 architecture. The very first Geekbench 5 compute benchmark results and open some basics about the graphics processor in the course on Friday, which was a post by someone. Needless to say, fanatics noticed the new entry almost closely. 

The device which is presumably one of Samsung’s imminent smartphones can be used for testing which is marked as the Samsung SM-S908B. this runs Android 12 which is equipped with 8GB of system memory. Learn that the GPU seems to feature three workgroup processors (WGPs) or 384 stream processors functioning at a surprisingly low 555 MHz frequency. The chip also has 4GB of memory but we are not sure whether the GPU uses enthusiastic memory or can address 4GB of DRAM.

Mobile SoCs in Geekbench 5 Compute Benchmark

You will also hear that in either case, the latest introduced Xclipse 920 GPU performs quite well with Samsung and AMD collaboration CPU and with the Primate Labs’ Geekbench 5 GPU compute benchmark. It outdoes the Qualcomm Snapdragon 888 used in the Samsung Galaxy S21 by nearly 2x but falls overdue the Apple A15 that controls the iPhone 13 Pro. 

Though, Geekbench 5 compute benchmark frequently doesn’t reflect the presentation of actual submissions that use GPUs for general-purpose computing. Also, it does not imitate the performance of GPUs in graphics claims.