Video Game Configuration FPS Data

Frames per second (FPS) measurements for video games run on various computer configurations are provided. This collection of data describes the outcome of FPS measurements for video games executed on computers, connecting performance directly to the underlying hardware specifications and in-game settings. Each entry characterises the computer via its CPU and GPU components, relying on technical specifications that represent the factory state of those components. The characteristics of the game itself, such as name, display resolution, and quality settings, are also recorded alongside the achieved FPS.

id: A unique identifier assigned to each computer configuration documented in the dataset.

FPS: The central measured outcome, representing the achieved Frames per Second for the specific configuration and game settings.

CpuName: The name of the Central Processing Unit.

CpuNumberOfCores: The total number of cores present in the CPU.

CpuNumberOfThreads: The total number of threads managed by the CPU.

CpuBaseClock: The base clock speed of the CPU.

CpuCacheL1/L2/L3: Technical descriptions detailing the size of the Level 1, Level 2, and Level 3 cache memory types built into the microprocessor.

CpuFrequency: The frequency of the CPU, indicating the number of operations per second.

CpuDieSize: The physical dimensions (area) of the bare integrated circuit wafer.

Game attributes (GameName, GameResolution, GameQuality): Features describing the name of the video game and the resolution and quality settings used during the FPS measurement.

GPU attributes (GpuName, GpuMemory, etc.): Features describing the name and specifications of the Graphics Processing Unit.

The data is delivered in a standard tabular format, typically supplied as a CSV file (fps_videogames.csv). The file size is 117.25 MB and contains 46 distinct columns. The structure includes approximately 426,000 recorded observations (rows). Updates to this dataset are expected to occur annually.

This dataset is ideal for performance modelling, especially regression analysis, correlating hardware attributes with gaming frame rates. It can be used for benchmarking different computer configurations, identifying bottlenecks in gaming performance, and developing predictive models for expected FPS based on detailed CPU and GPU specifications. It is highly relevant for studies in hardware optimization and video game performance analysis.

The data is considered to have Global scope. It focuses strictly on the technical specifications of CPU and GPU components and associated gaming performance metrics; no demographic or temporal limitations are specifically noted beyond the data being related to computer hardware available at the time of measurement.

CC BY-SA 3.0

Data Scientists: For training machine learning models to predict FPS based on multiple hardware variables.

Hardware Analysts and Reviewers: For comparing the real-world performance impact of different CPUs and GPUs in gaming contexts.

Video Game Developers: For understanding performance profiles across a wide array of user hardware during quality assurance and optimisation cycles.

Researchers: Those engaged in studies related to computer architecture and performance benchmarking.

Original Data Source: Video Game Configuration FPS Data