Qualcomm has launched a new mobile platform called the Snapdragon 710. The platform is the first chipset under the company’s new 700 series, which slots in between the flagship 800 series and the mid-range 600 series. The new Snapdragon 710 is an octa-core chipset and is manufactured using the 10nm manufacturing process, which is the same process used for the flagship Snapdragon 845 chipset.
The Qualcomm Snapdragon 710 mobile platform features the company’s new Kryo 360 cores in a big.LITTLE architecture. There are 6 efficiency cores clocked at 1.4GHz and two high performance cores clocked at 2.2GHz. Other additions include the a new Adreno 616 GPU, Spectra 250 ISP, Hexagon 685 DSP, X15 LTE modem and Qualcomm Aqstic Audio.
The Adreno 616 GPU in the Snapdragon 710 supports Vulkan API and the company claims that it offers up to 35% faster graphics rendering as compared to previous generation Adreno GPUs. With the X15 modem, the company claims that users will be able to enjoy up to 2.4X faster downlink than cat 7 LTE in real world use. Other connectivity highlights include 4X4 MIMO, Bluetooth 5 and Qualcomm’s TrueWireless Stereo technology.
Qualcomm says that the new Spectra 250 ISP offers noise reduction, active depth sensing, slow motion video capture as well as Ultra HD Video Capture with 40% lower power consumption. The Snapdragon 710 is able to support up to a 32MP single, 20MP dual ISP. The chipset is also capable of supporting 4K HDR videos.
In terms of performance, the company says that the Snapdragon 710 is capable of up to a 20% increase in performance as compared to the Snapdragon 660. Similarly, the Snapdragon 710 is said to offer up to 40% reduction in power consumption with 4K video playback or gaming. The chipset also supports the company’s Quick Charge 4+ technology.
The Snapdragon 710 also supports AI experiences and the company says that it offers twice the AI performance as compared to the Snapdragon 660. It supports tools likes the Snapdragon Neural Processing (SDK), Android NNAPI and Hexagon NN. It also supports frameworks such as Caffe 2, TensorFlow, TensorFlow Lite and ONNX.