Apps optimized for the Qualcomm Hexagon DSP can run faster and consume less power. Qualcomm Technologies is introducing even more support for Google’s machine learning framework called TensorFlow — it’s now optimized for the Hexagon 682 DSP, which is integrated into our premium tier Qualcomm Snapdragon 835 processor.

TensorFlow is Google’s machine learning software library, and it’s open source. This means developers are free to use TensorFlow to create their own models that add artificial intelligence to their mobile and desktop apps or cloud services. They can do so in a variety of ways to fully utilize Snapdragon 835’s heterogeneous cores, the best of which is to make full use of the DSP. Google uses TensorFlow for machine learning features across many products including Google Photos and Google Cloud Speech.

TensorFlow was designed to run on processing units inside of processors. Snapdragon processors integrate a CPU, GPU and many more technologies including a Digital Signal Processor, or DSP. Our DSP architecture is designed to process certain audio and video features more quickly and at lower power than a CPU or GPU, which is why it’s ideal to exploit its advantages. The chart below illustrates the benefits of apps optimized for our DSP.