What's New
Added ArmCL 18.05 OpenCL library with 3 MobileNets v1 scenario; updated scoreboard at http://cKnowledge.org/dnn-crowd-benchmarking-results (sorting by throughput and latency)
About Crowd-benchmarking and crowd-tuning deep learning Android App
This is a prototype of our open-source client based on the open-source Collective Knowledge framework (https://github.com/ctuning/ck) to help the community co-design Pareto-efficient software and hardware stack for deep learning and other emerging workloads in terms of speed, accuracy, energy and costs across diverse models, data sets, libraries, frameworks and devices provided provided by volunteers similar to SETI@HOME:
* http://cKnowledge.org/dnn-crowd-benchmarking-results
* http://cKnowledge.org/request
* http://cKnowledge.org/ai
* https://github.com/ctuning/ck
License: permissive 3-clause BSD
Source code: https://github.com/dividiti/crowdsource-video-experiments-on-android
Maintainers: non-profit cTuning foundation (cTuning.org) and dividiti (dividiti.com)
Other Information:
Download
This version of Crowd Android App comes with one universal variant which will work on all the Android devices.
All Versions
If you are looking to download other versions of Crowd Android App, We have 7 versions in our database. Please select one of them below to download.
