Redmi Note 9 Indonesia MIUI V12.5.3.0.RJOIDXM Update

MIUI V12.5.3.0.RJOIDXM Stable Official Update for Redmi Note 9 Indonesia (merlin)

This page shows the V12.5.3.0.RJOIDXM 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
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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 Indonesia
  • Codename: merlin
  • Version: V12.5.3.0.RJOIDXM
  • Branch: Stable
  • Type: Recovery
  • Size: 2.5 GB
  • Release Date: 2021-11-29
  • Package Name: miui_MERLINIDGlobal_V12.5.3.0.RJOIDXM_c20abc8085_11.0.zip
  • MD5: c20abc8085be5ac849a8f1decca07167
  • 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 Indonesia
  • Codename: merlin
  • Version: V12.5.3.0.RJOIDXM
  • Branch: Stable
  • Type: Fastboot
  • Size: 4.1 GB
  • Release Date: 2021-11-18
  • Package Name: merlin_id_global_images_V12.5.3.0.RJOIDXM_20211118.0000.00_11.0_global_b6e5bea991.tgz
  • MD5: b6e5bea99199fef54a248055b4633266
  • 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.