Benchmark results for Vellamo and AnTuTu from Google Play in Xiaomi Redmi Note 4

The dataset contains the print screens of the execution of following benchmark: Vellamo Browser, Vellamo Metal, Vellamo Multicore, and AnTuTu General. The benchmark was repeated until the smartphone reaches a battery level below 20%. For each benchmark, we recorded the numerical results for each microbenchmark. Each benchmark was evaluated using different approaches for CPU frequency scaling: Ondemand, Performance, Interactive, HS, ZT, OUR-G-0.1, OUR-G-0.5 and OUR-G-0.9.

Ondemand, Performance, and Interactive are native from Android OS.

OUR-G-0.1, OUR-G-0.5 and OUR-G-0.9 referrers to our proposed method to save energy, executed in smartphone Xiaomi Redmi Note 4.

The approaches HS is from:
@article{hshen2013,
    author    = "H. Shen and Y. Tan and J. Lu and Q. Wu and Q. Qiu",
    title     = "Achieving Autonomous Power Management Using Reinforcement Learning",
    journal = "ACM Transactions on Design Automation of Electronic Systems (TODAES)",
    volume = "18",
    month = "",
    number = "2",
    year = "2013",
    pages = "24-32"
}

and ZT in from:
@inproceedings{ztian2018,
author = "Zhongyuan Tian and Zhe Wang and Haoran Li and Peng Yang and Rafael Kioji Vivas Maeda and Jiang Xu",
title = "Multi-device collaborative management through knowledge sharing",
booktitle = "Proc. 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)",
month = "" ,
year = "2018",
pages = "22-27"
}

The energy.txt file contains the acquisition of voltage and current from smartphone fuel gauge.

The other files are self-explained.