Xiaomi is rolling out the most recent MIUI 14 OS replace to 2 extra Redmi handsets in China. The Redmi Be aware 10 5G and Be aware 11 SE are getting the replace together with new changelogs, the most recent firmware model, safety patches, and new options. The Android 13-based MIUI 14 replace comes with a measurement of 4.2GB. Customers can obtain it through MIUI downloader. The replace additionally brings the February 2023 safety patch. Redmi Be aware 10 was launched in March 2021 with Android 11-based MIUI 12 out-of-the-box.
Based on particulars shared by Xiaomiui, the MIUI 14 replace for Redmi Be aware 10 5G is rolling out in China. The newest replace has introduced a brand new consumer interface, tremendous icons to the house display screen, animal widgets, fast app launch, improved system efficiency in addition to higher battery life. The replace brings within the newest firmware model MIUI V188.8.131.52.TKSCNXM and February 2023 safety patches.
The changelog of the Redmi Be aware 10 MIUI 14 replace is at present rolling out for China solely. The newest replace has a measurement of 4.2GB and might be downloaded through MIUI Downloader. Notably, the most recent OS replace is first out there to the customers who’ve enrolled themselves within the Mi Pilots program. It is going to be rolled out to a wider viewers if no bugs are discovered, mentioned Xiaomi.
Equally, MIUI 14 secure replace can be out there for Redmi Be aware 11 SE in China, based on an IT Residence report. The handset is getting related options and enhancements because the Redmi Be aware 10 5G together with new widgets, system enhancements, improved Mi AI voice assistant, superior search in settings and the most recent safety patch.
The newest MIUI replace makes use of much less reminiscence. It has additionally launched enhancements to interconnection like headphone streaming, collaborative enter, and interconnection buses. It additionally options device-side privateness functionality, full native processing, and information cloud protection together with end-to-side image textual content recognition.