Please note that this abandoned project has been revived by OrangeMedia. All permissions of the prior owners were taken.


Introduction :

This utility will allow you to overclock or underclock your CPU to the required frequency. Root is required.


Supported Chipsets :

  • Snapdragon 845 Mobile Platform
  • Snapdragon 835 Mobile Platform
  • Snapdragon 821 Platform
  • Snapdragon 820 Mobile Platform
  • Snapdragon 636 Mobile Platform
  • Snapdragon 450 Mobile Platform
  • Snapdragon 810 Platform



Features :


Boost your clock speed to 3.2GHz on the Cortex-A73 Mobile Platform.



Get upto 3.4GHz from 2.8GHz on the Kryo 385 core.


Kryo 385 – Hyperclock to boost your individual core clock speed to 3.4GHz from stock speed of 2.8GHz.


Get upto 28% additional frequency boost on the new Snapdragon 845.


Please note that the images belong to the respective copyright holders. We have explicit permission to use the following images. Please do not use the images without proper authorization.


How does it work?



By harvesting the power of a rooted Android device, we are able to increase the CPU Core Voltage according to the MOSFET Formula.


The CPU Core Voltage is slightly increased to attain a huge performance bump.

The MOSFET formula: \,I_{D}=k((V_{{GS}}-V_{{tn}})V_{{DS}}-(V_{{DS}}/2)^{2}) says that the current I_{D} supplied by the FET is proportional to the gate-source voltage reduced by a threshold voltage V_{{tn}} which is dependent on the geometrical shape of the FET’s channel and gate and their physical properties, especially capacitance. In order to reduce V_{{tn}} (necessary both in order to reduce the supply voltage and to increase current) one must increase capacitance. But, the load being driven is in fact another FET gate. The current needed to drive it is proportional to capacitance, which thus requires the designer to keep it low.

During development, we encountered a safety system of the Chipset. If the chipset generates excessive heat, it automatically underclocks itself. So governors, (Learn more) can’t deliver the expected performance. The clock rate needs to be tampered with continuously.

During the overclocked state, the chipset generates 30% – 35% additional heat. Therefore, heat directly affects the performance of the chipset.

So, instead of using governors to determine the CPU speed, we are implementing artificial intelligence to decide your CPU frequency.


Usage of Artificial Intelligence


We are use Google’s ML Kit API for user —- app interaction.

Why we are using Google ML Kit :

  • Optimized for mobile

    Machine learning provides solutions that are optimized to run on-device.
  • Built with Google expertise

    ML Kit offers the technologies that have long powered Google’s own experiences on mobile.
  • Approachable and comprehensive

    Usage out-of-the-box solutions (base APIs) or custom models, running on-device or in the Cloud, depending on specific needs.

unnamed (1).png

For app —- device interaction, we are using TensorFlow Lite API.

We will release the source file soon.

Real Life results



We’ve tested our product on multiple chipsets. The biggest performance leap was on the

Snapdragon 845 Mobile Platform

which had a 20% performance boost. Results may vary between devices and chipsets.

Exynos chipsets are NOT supported due to usage of different architecture.

Some users may notice no difference in real life usage atall. 


Please note that the images belong to the respective copyright holders. We have explicit permission to use the following images. Please do not use the images without proper authorization.