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:<br> @article{hshen2013,<br> author = "H. Shen and Y. Tan and J. Lu and Q. Wu and Q. Qiu",<br> title = "Achieving Autonomous Power Management Using Reinforcement Learning",<br> journal = "ACM Transactions on Design Automation of Electronic Systems (TODAES)",<br> volume = "18",<br> month = "",<br> number = "2",<br> year = "2013",<br> pages = "24-32"<br> } and ZT in from:<br> @inproceedings{ztian2018,<br> author = "Zhongyuan Tian and Zhe Wang and Haoran Li and Peng Yang and Rafael Kioji Vivas Maeda and Jiang Xu",<br> title = "Multi-device collaborative management through knowledge sharing",<br> booktitle = "Proc. 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)",<br> month = "" ,<br> year = "2018",<br> pages = "22-27"<br> } The energy.txt file contains the acquisition of voltage and current from smartphone fuel gauge. The other files are self-explained.