Samsung Galaxy J7 (2018) with Exynos 7885 processor, 3GB RAM spotted online

By Digit NewsDesk | Published on Apr 01 2018
Samsung Galaxy J7 (2018) with Exynos 7885 processor, 3GB RAM spotted online

The smartphone has reportedly received its Bluetooth and WiFi certification and was also spotted on Geekbench, indicating a nearing launch.

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Samsung might soon unveil the 2018 edition of its Galaxy J7 smartphone. As per a report by GSM Arena, the company’s SM-J720 device was spotted on on FCC’s website, which revealed some of its design details and has also reportedly passed through Bluetooth SIG and Wi-Fi Alliance certification websites as well. The SM-J720 smartphone was also spotted on geekbench and as per the listing, it’s powered by the company’s Exynos 7885 processor clocked at 1.6GHz, coupled with 3GB RAM and running on Android 8.0 Oreo. 

As per the details on the smartphone by FCC’s documentation, it features 153mm x 76mm dimensions and measures 162mm diagonally. It is said to feature a 140mm screen, which means a 5.5-inch display panel. The Exynos 7885 is the same CPU which was seen on the company’s Galaxy A8 and A8 Plus smartphones. 

Samsung recently announced its new Exynos 7 Series 9610 processor. It will be used for powering its mid to upper range smartphones, like the ‘A’ series of devices. The new processor borrows some of the features from the company’s high-end Exynos 9810 SoC. The new microprocessor features AI based image processing, is built on a 10nm node, and supports capturing slow motion videos, same as the Exynos 9810. The processor supports capturing 480fps slow motion videos in full HD and at 120fps in 4K.

The processor uses neural network for vision and image processing. The company says that it allows for  single camera out-focusing, “enhanced face detection”, and augmented low-light images. The SoC also allows for detecting faces which are partially covered or not facing the device, owing to the new face detection algorithm, says Samsung. Using a single camera sensor, the processor can capture bokeh shots, using smart depth sensing algorithms, similar to the Pixel 2 smartphones. It is also said to improve low light image capture by “cleverly” merging multiple frames, enhancing the noise-to-signal ratio and brightness using image processing.

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