Samsung Galaxy S23 FE performs better than Galaxy S22
The Samsung Galaxy S23 FE has officially hit the shelves, featuring the Snapdragon 8 Gen 1 in some versions, while in certain regions, it is equipped with the Exynos 2200 SoC. However, due to design flaws, the Exynos 2200, previously outfitted in the Galaxy S22, has shown subpar performance in power consumption and heat generation, leading some consumers to be skeptical about the Exynos 2200 variant of the Galaxy S23 FE.
A South Korean blogger recently conducted a performance test on the Exynos 2200 version of the Galaxy S23 FE and compared the results with the Galaxy S22 equipped with the same SoC. Surprisingly, the performance of the Galaxy S23 FE’s Exynos 2200 was markedly superior to the older model, rivaling the first-generation Snapdragon 8 mobile platform. The video showcases that, whether it be the Wild Life Extreme stress test or Geekbench scores, the Galaxy S23 FE consistently outperformed the Galaxy S22. Detailed data also revealed that after the same duration of operation, the SoC frequency of the Galaxy S23 FE was higher than that of the Galaxy S22, signifying enhanced performance of the new Exynos 2200, which also demonstrated improved energy efficiency in test results.
From the aforementioned evidence, it is apparent that Samsung’s 4nm technology has made significant strides, thus, we can maintain an optimistic outlook for the performance of Samsung’s next-generation chip, the Exynos 2400. Samsung has previously indicated that the Exynos 2400 will be manufactured using the advanced Samsung 4nm LPP+ process, with CPU performance expected to increase by 70%. The GPU, employing the RDNA3 architecture, is anticipated to offer graphical capabilities on par with the third-generation Snapdragon 8 mobile platform and will support ray tracing. Enhancements in the NPU have been made, particularly in its support for non-linear computations, with AI performance improving by an impressive 14.7 times over the previous generation, and Samsung has asserted the development of specialized AI tools tailored to mobile functionalities.
