Hello,
i am currently using the Snapdragon NPE Android example with a converted tensorflow model on a Lenovo PB2-690M. I switched the runtime from CPU to GPU for the network inference, however i get the more or less the same execution time as on CPU. Also, the execution time is very slow, it is a shorter network than the inception, and has about 1.2 inferences per second.
Best Regards,
Simon
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Which version of SNPE do you use? Can you please try other one?
Btw, what's the chipset that PB2-690M is using?
Thank you for the reply! I am using SNPE version 1.8.0, this should be the current one. The hardware of the smartphone is:
It seems i fixed the problem. In the tutorial source i had to set GPU or CPU in the LoadNetworkTask.java:
Setting CPU/GPU inside the app does not work, it always chooses CPU no matter what has been selected. Compared to the CPU, the GPU is in average 2 times as fast, using a relatively small network (5mb non-quantized).
Best Regards,
Simon