Redmi Note 9 Turkey MIUI V12.5.2.0.RJOTRXM Update

MIUI V12.5.2.0.RJOTRXM Stable Official Update for Redmi Note 9 Turkey (merlin)

This page shows the V12.5.2.0.RJOTRXM update only. If you're looking for other updates check here.

Note: All files listed here are official untouched MIUI ROMs. It's not owned, modified or edited by Xiaomi Firmware Updater.

Note
You might be looking for something else!

This page shows a single update only. If you're looking for another update or other downloads check:

MIUI Downloads Firmware Downloads Vendor Downloads
  • Device: Redmi Note 9 Turkey
  • Codename: merlin
  • Version: V12.5.2.0.RJOTRXM
  • Branch: Stable
  • Type: Recovery
  • Size: 2.5 GB
  • Release Date: 2021-11-29
  • Package Name: miui_MERLINTRGlobal_V12.5.2.0.RJOTRXM_310b7b2393_11.0.zip
  • MD5: 310b7b23932a4010705ffc487cb26f70
  • Download:
  • Changelog:

    [MIUI12.5 Enhanced]
    Liquid storage: New sensitive storage mechanisms will keep your system vibrant and responsive as time goes by.
    Smart balance: Core system improvements allow your device to make the best of the flagship hardware specs.
    Swift performance. More life between the charges.
    Focused algorithms: Our new algorithms will dynamically allocate system resources based on specific scenes, ensuring smooth experience on all models.
    Atomized memory: Ultra-fine memory management mechanism will make RAM usage more efficient.

  • Device: Redmi Note 9 Turkey
  • Codename: merlin
  • Version: V12.5.2.0.RJOTRXM
  • Branch: Stable
  • Type: Fastboot
  • Size: 3.9 GB
  • Release Date: 2021-11-23
  • Package Name: merlin_tr_global_images_V12.5.2.0.RJOTRXM_20211123.0000.00_11.0_global_b68f0ca578.tgz
  • MD5: b68f0ca57835e6ff76b914e5515da375
  • Download:
  • Changelog:

    [MIUI12.5 Enhanced]
    Liquid storage: New sensitive storage mechanisms will keep your system vibrant and responsive as time goes by.
    Smart balance: Core system improvements allow your device to make the best of the flagship hardware specs.
    Swift performance. More life between the charges.
    Focused algorithms: Our new algorithms will dynamically allocate system resources based on specific scenes, ensuring smooth experience on all models.
    Atomized memory: Ultra-fine memory management mechanism will make RAM usage more efficient.