Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AI Benchmark: Running Deep Neural Networks on Android Smartphones   Over the last years, the computational power of mobile devices such as
smartphones and tablets has grown dramatically, reaching the level of desktop
computers available not long ago. While standard smartphone apps are no longer
a problem for them, there is still a group of tasks that can easily challenge
even high-end devices, namely running artificial intelligence algorithms. In
this paper, we present a study of the current state of deep learning in the
Android ecosystem and describe available frameworks, programming models and the
limitations of running AI on smartphones. We give an overview of the hardware
acceleration resources available on four main mobile chipset platforms:
Qualcomm, HiSilicon, MediaTek and Samsung. Additionally, we present the
real-world performance results of different mobile SoCs collected with AI
Benchmark that are covering all main existing hardware configurations.

18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th