Redmi K30 5G Racing Edition, the First Cellphone That Brings Snapdragon 768G Chipset


Gadgetren – After Qualcomm inaugurated the presence of the Snapdragon 768G chipset, Xiaomi then launched the Redmi K30 5G Racing Edition in China which became the first mobile phone to use the platform.

As previously reported about the Qualcomm Snapdragon 768G, this processor has been activated to 5G which brings an increase in CPU Clock performance from 2.4GHz to 2.8GHz and Adreno 620 GPUs around 15% compared to its predecessor Snapdragon.

Redmi K30 Racing Edition is also compatible with SA / NSA 5G dual mode and has a screen with a 120Hz refresh rate. Based on information reported by Android Authority, the screen size itself offers 6.67 inches with FHD + resolution (1080 x 2400 pixels) and an aspect ratio of 20: 9.

There are four vertically elongated camera settings on the back which consist of the Sony IMX686 64MP main camera, 8MP ultra wide, 5MP macro, and 2MP depth sensor. As for the front camera itself uses 20MP which is assisted by a 2MP depth sensor. Both are placed in a punch hole in the right corner of the screen.

In terms of connectivity, this phone is equipped with a 3.5mm headphone jack and USB Type C port. In addition to the 5G network, this phone is also compatible with dual SIM, Bluetooth, NFC, IR blaster, and GPS / A-GPS.

The volume buttons are on the right edge of the phone and the fingerprint sensor is integrated with the power button to turn the phone off and on. This phone is powered by a 4,500mAh battery that has 30W fast charging, but without the support of wireless charging which is trending.


This phone has been officially marketed in China with a price of 1,999 Yuan or Rp. 4.2 million for 6GB RAM and 128GB ROM. Overall, the Redmi K30 Racing Edition is no different from its previous siblings, namely the Redmi K30 5G.

What makes it even better is the new Qualcomm chipset embedded in the cellphone only. This will improve the overall performance of the phone, especially for a better gaming experience, given the increase in GPU.


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