The Effect of Random-Access Memory Capacity on the Performance of FL Studio (Fruity Loops) on Laptops

Authors

Keywords:

FL Studio, I/O Bottleneck, Plugins, RAM, System Performance

Abstract

This study discusses the effect of RAM capacity on FL Studio performance on laptop devices. This study was conducted by dividing 3 different RAM configurations (32GB, 16GB, & 8GB) to be tested one by one. This study conducted an artificial experiment by creating a music project and dividing it into two variations in the form of native and third-party software plugins to see the difference in workload and the RAM requirements for each project in FL Studio. Performance data was measured from three scenarios (load, playback, and render). It was found that the third-party project (based on a large sample library) that had been created required approximately 25GB of RAM to run optimally. With a 32GB RAM configuration, the render duration was 135.0s and the load duration was 113s. In the playback scenario, the project ran optimally and CPU usage was below 50%. With a 16GB configuration, playback was possible but experienced a bottleneck as seen from the SSD read activity (average) increasing to 16.8 MB/s. The rendering process was also successful, but slower at 154.3 seconds. In the 8GB configuration, there was a performance failure in the load scenario (305 seconds), making it impossible to proceed to the playback and real-time rendering scenarios. In contrast, the native project (synthesizer) required approximately 9.4GB of RAM with rendering in 67.3 seconds. This study concluded that RAM requirements affect projects with third-party plugins (especially those based on large sample libraries).

Author Biographies

  • Didit Suprihanto, Mulawarman University

    Department of Electrical Engineering, Faculty of Engineering

  • Adi Pandu Wirawan, Mulawarman University

    Department of Electrical Engineering, Faculty of Engineering

  • Ikhsan Yusuf, Mulawarman University

    Department of Electrical Engineering, Faculty of Engineering

  • Happy Nugroho, Mulawarman University

    Department of Electrical Engineering, Faculty of Engineering

  • Arif Harjanto, Mulawarman University

    Department of Electrical Engineering, Faculty of Engineering

References

[1] H. Wyatt and T. Amyes, Audio Post Production for Television and Film. Focal Press, 2005.

[2] Y. Yang, Analysis Of Different Types of Digital Audio Workstations. Highlights in Science, Engineering and Technology CSIC, 85, 2024.

[3] W. Stallings, Computer Organization and Architecture: Designing for Performance (11th ed.). Prentice Hall, 2022.

[4] Hennessy, J. L., & Patterson, D. A. (2019). Computer Architecture: A Quantitative Approach. Morgan Kaufmann

[5] Farah Humainah, R., Firmansyah, A. F. T., Ramadhani, S. I., & Didik Aribowo. (2023). Pengaruh Kapasitas Memori RAM (Random Access Memory) Terhadap Kecepatan Memori Pada Laptop. Jurnal Elektronika Dan Teknik Informatika Terapan ( JENTIK ), 1(4), 178–186. https://doi.org/10.59061/jentik.v1i4.458

[6] U. Zölzer, M. Holters, E. Gerat, P. Nowak, P. Bhattacharya, L. Köper, and D. Ahlers, Digital Audio Signal Processing (3rd ed.). Wiley, 2022.

[7] A. P. Bell, Dawn of the DAW: The studio as musical instrument. Oxford University Press, 2018.

[8] M. Richards and N. Ford, Fundamentals of Software Architecture An Engineering Approach. O’Reilly Media, Inc., 2020.

Downloads

Published

2026-02-02