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Qualcomm introduces new Snapdragon 630, Snapdragon 660 Mobile Platforms

The company announced the new mobile platforms at the Snapdragon Tech Day event in Singapore.

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Qualcomm has introduced its all new Snapdragon 630 and Snapdragon 660 mobile platforms. The company claims that they are designed to support a leap in performance supporting advanced photography and enhanced gaming, in addition to long battery life and fast LTE speeds for top-tier smartphones and tablets. The Snapdragon 660 Mobile Platform is now shipping and the Snapdragon 630 Mobile Platform will begin shipping towards the end of May.

Qualcomm says that the Snapdragon 660 offers up to 30 percent higher graphics performance and twice the LTE and Wi-Fi downlink speed compared to the prior generation. It is based on 14nm process and uses Kryo 260 cores. It supports displays up to QHD (2K) resolution as well along with an improved Adreno 512 GPU, which is a significant upgrade over the Adreno 510 on Snapdragon 653 SoC. Snapdragon 660 also includes the X12 LTE modem which is reportedly designed to support mobile industry leading connectivity with LTE download speeds up to 600 Mbps, integrated 2x2 802.11ac Wi-Fi with MU-MIMO, and RF front end technologies. Just as the Snapdragon 660, the Snapdragon 630 is also based on the 14nm process. It offers up to 30 percent increase in the GPU performance than its predecessor, the Snapdragon 625 processor. Another advance feature present in these platforms is Qualcomm’s Quick Charge 4 fast-charging technology, which was previously only available with Snapdragon 835. This technology promises up to 20 percent faster charging and 30 percent higher efficiency than the previous generation Quick Charge 3.

Qualcomm mentioned in a press statement, “OEMs and developers can also power immersive and engaging user experiences with machine learning on the Snapdragon 660 and 630 Mobile Platforms using the Snapdragon Neural Processing Engine SDK. This heterogeneous software framework offers support for Caffe/Caffe2 and TensorFlow, making it easy to target and run neural networks on the Snapdragon core that matches the power and performance profile of the desired feature – CPU, GPU or DSP/HVX.”

 

 

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