Vivo Y21e is 8.0mm thin, powered by Snapdragon 680 chipset.

after launch Alive Y33T Not long ago, Vivo launched another smartphone in India, which is Alive Y21e mid-range smartphone It is powered by the Snapdragon 680 chipset and has a 13+2MP dual rear camera with a rectangular module layout. Which is a good design of Vivo. In addition, the device is also thin, using only 8.0 mm.

Alive Y21e It is a smart phone that focuses on sparse. with a size around the machine at 164.26 x 76.08 x 8.0 mm and weighs only 182 grams on the front of the display is a 6.51-inch wide LCD panel with HD + resolution (1600×720 pixels) and uses a teardrop notch design In it, there is a front camera with a resolution of 8MP, which supports face beauty customization.

rear camera It is equipped with 2 lenses, consisting of a 13MP main lens and a 2MP macro lens. It supports working with AI for both Face Beauty and clear faces after blurring Bokeh. Macro mode can also take close-up photos up to 4 centimeters.

Inside, it is powered by the Qualcomm Snapdragon 680 chipset, which is a mid-range performance chipset with a size of only 6nm. making it more energy efficient There is also 3GB of RAM with 0.5GB Extended RAM technology, 64GB of ROM, can add a MicroSD card. The operating system is used as Funtouch OS 12 with Multi-Turbo 5.0 and Ultra Game Mode to increase the efficiency of use. and playing games

Other details Alive Y21e Support biometric security systems, both a face scan and a fingerprint scanner on the power button, supports 2 Nano SIM slots, supports wireless connectivity, supports both 2.4Ghz and 5GHz Wi-Fi, and also has Bluetooth 5.0, and the battery is 5,000mAh. Fast charging via 18W cable, has a USB Type-C port.

right now Alive Y21e It was launched in India. With 2 colors to choose from, Diamond Glow and Midnight Blue, with a launch price of 12,990 rupees, or about 5,800 baht, for sale in other countries including in Thailand Still have to wait to hear the news.

.

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.