Intel Neural Compute Stick Vs Gpu

As you can see from the above graph the higher end mobilenets with depthmultiplier 1 0 and input image size 224x224 with a top5 accuracy of 89 5 runs at 9x the speed fps when an intel.

Intel neural compute stick vs gpu.

Gpu offers notable high performance of computations order of few tflops or more however it is usually dedicated for hpc solutions. As it just so happens you have multiple options from which to choose including google s coral tpu edge accelerator cta and intel s neural compute stick 2 ncs2. However it really struggles doing object detection at 11 fps. Looking at the accelerator hardware the coral usb accelerator is faster by a factor of just under 2 than the intel neural compute stick 2.

At the same time intel movidius is a low power ai solution dedicated for on device computer vision. With intel s older first generation movidius neural. The ncs2 uses a vision processing unit vpu while the coral edge accelerator uses a tensor processing unit tpu both of which are specialized processors for machine learning. Shall i buy a gpu rather movidus or shall i buy movidus instead i think gpu in a pc can do more than just deep learning like games from inside i feel to buy a gpu instead but before any step i would like to take advice from expert or those who have experience about it i want to judge on the basis of performance and experience.

Network accuracy data from google s blog. By the way ncs2 is a usb stick and it needs to use it together with an external host computer which is raspberry pi3 in this case. Today intel subsidiary movidius is launching their neural compute stick ncs a version of which was showcased earlier this year at ces 2017 the movidius ncs adds to intel s deep learning and.