The app calculates how many operations (add, subtract, multiply, divide, etc.) a CPU can perform in a given second with either fractional (floating-point) or integer numbers.

FLOPS - Floating-point Operations Per Second, performance measurement of Floating Point Unit (FPU).

INOPS - Integer Operations Per Second, measurement of Arithmetic Logic Unit (ALU)

E.g. 1 G(iga)FLOPS means that CPU can do 1 billion floating-point operations per second (such as 1.1+2.2=3.3).

General app logic is typically reliant on integer operations, while graphics and games rely on floating-point ones. The faster your CPU can crunch numbers, the faster your apps can run.

You can compare your device's performance to 1960s Apollo Guidance Computer or 1990s super computer. There's also a results database with comparison figures for more actual devices (smartphones, laptops).

Tests are executed in single and multithreaded modes and reflect multi-core and single-core performance.

Under Options you can change the number of threads used and choose between 32 and 64 bit precisions.

Stress Test is available and allows tracking CPU performance and temperature over time under high load (determining thermal throttling).

More info about how the app works: https://maxim-saplin.github.io/xOPS-Web/?about=

Source code: https://github.com/maxim-saplin/xOPS-App

Introduction

xOPS CPU Benchmark is a comprehensive benchmarking tool designed to evaluate the performance of central processing units (CPUs) in terms of floating-point operations per second (FLOPS) and million instructions per second (MIPS). It provides a standardized and reliable way to compare the computational capabilities of different CPUs, enabling users to make informed decisions when selecting hardware for specific applications.

Methodology

The benchmark utilizes a suite of carefully crafted algorithms that stress the CPU's ability to perform floating-point calculations and integer operations. These algorithms cover a wide range of computational scenarios, including matrix multiplication, Fourier transforms, and data encryption. The benchmark executes each algorithm multiple times to obtain accurate and consistent results.

FLOPS and MIPS

FLOPS (floating-point operations per second) measures the CPU's ability to perform floating-point calculations, which are essential for scientific and engineering applications. MIPS (million instructions per second) measures the overall performance of the CPU in executing instructions, including both floating-point and integer operations.

Results

The benchmark produces detailed results that include:

* FLOPS and MIPS scores for each algorithm

* Overall FLOPS and MIPS scores for the CPU

* Comparison with reference CPUs

Applications

xOPS CPU Benchmark is widely used for:

* Comparing the performance of different CPUs

* Evaluating the suitability of CPUs for specific applications

* Identifying bottlenecks in CPU performance

* Optimizing code for improved performance

Benefits

The benchmark offers several benefits:

* Standardized and reliable measurements

* Comprehensive coverage of computational scenarios

* Accurate and consistent results

* Easy-to-use interface

* Cross-platform compatibility

Conclusion

xOPS CPU Benchmark is a valuable tool for assessing the computational capabilities of CPUs. By providing standardized FLOPS and MIPS scores, it enables users to make informed decisions when selecting hardware for demanding applications that require high levels of computational performance.