July is a season full of sadness, because there is graduation of parting; And July is also a season of passion, as many graduates have entered the job market this month and started their careers. From the student's identity into the company's staff, not only psychologically to be prepared, in the equipment should also be different.
Today, Sina mobile phone for those who have just joined the work of the new people to recommend a few suitable for their use of mobile phones, when the first month's wages come down, may consider to buy such a mobile phone to reward themselves.
Red meter 6 Pro (parameter Quote forum software)
Reference Price: 999 RMB June 24, Millet released the first profiled full screen red meter mobile phone: Red meter 6 Pro. It is equipped with 5.84 inch 19:9 ' small bangs ' full screen, the color value is very high; Rear 12 million + 5 million pixel AI dual-camera, equipped with high-performance Low-power Gaotong 6,258 core processor;
Built-in 4000mAh high-capacity battery, its price only 999 yuan.
Click the picture to view Red Meter 6 Pro Details Red Meter 6 Pro equipped with a 5.84-inch-shaped comprehensive screen, support 2280x1080 resolution and 19:9 vertical and horizontal ratio, with Xiao 625 processor, 3GB running memory, 32GB storage, and the use of a separate three-card slot design, not only support microSD storage card expansion, Also can insert double Nano-sim card at the same time, and have full Netcom 3.0 function.
Equipped with 4000mAh battery, run MIUI 10 built on Android 8.1.
Click the picture to view Red Meter 6 Pro Details Red Meter 6 Pro Rear 12 million + 5 million pixel dual camera, its main camera has 1.25μm unit pixel size and PDAF phase focus. A larger unit pixel size means more light, allowing night-time photos to be brighter while suppressing noise, which allows the red meter 6 pro to take a very clear picture in the dark or backlighting environment.
1 2 3 4 5 million pixel camera is a full-time record of depth information, with AI Artificial intelligence portrait pattern edge recognition more accurate, background virtual progressive more real.
