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A cross-platform client to perform collaborative and reproducible benchmarking, optimization and co-design of software and hardware for emerging workloads (AI, ML, quantum, IoT) via the open portal

Project description

PyPI version Python Version License

Linux/MacOS: Build Status Windows: Windows Build status


cBench is a cross-platform client connected with the open portal to support collaborative and reproducible benchmarking, optimization and co-design of computational systems based on emerging technologies (AI, ML, quantum, IoT).

cBench is a part of the Collective Knowledge technology and a wrapper around the low-level CK SDK to simplify the user experience.

Platform support:

As a host platform As a target platform
Generic Linux
Linux (Arm)
Raspberry Pi
MacOS ±
Android ±

MLPref crowd-benchmarking demo on Ubuntu

Install prerequisites:

sudo apt update
sudo apt install git wget libz-dev curl cmake
sudo apt install gcc g++ autoconf autogen libtool
sudo apt install libfreetype6-dev
sudo apt install python3.7-dev
sudo apt install -y libsm6 libxext6 libxrender-dev

Install cbrain:

python3 -m pip install cbrain

Initialize the CK solution for MLPerf:

cb init demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows

Participate in crowd-benchmarking:

cb benchmark demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows

See results on a public SOTA dashboard.

You can also use the stable Docker image to participate in crowd-benchmarking:

sudo docker run ctuning/cbench-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows /bin/bash -c "cb benchmark demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows"

You can also check all dependencies for this solution.



  • This is an ongoing project - don't hesitate to contact us if you have any feedback and suggestions!


We would like to thank all CK partners for fruitful discussions and feedback!

Copyright 2020 cTuning foundation and cKnowledge SAS

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