xOPS CPU Benchmark﹣FLOPS/MIPS

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

xOPS CPU Benchmark is a cross-platform tool designed to evaluate the performance of a computer's central processing unit (CPU). It measures the CPU's floating-point operations per second (FLOPS) and million instructions per second (MIPS), providing insights into its computational capabilities.

FLOPS (Floating-Point Operations Per Second)

FLOPS is a metric that quantifies the speed at which a CPU can perform floating-point operations, which involve calculations using decimal numbers. It is particularly important for applications that require intensive numerical computations, such as scientific modeling, data analysis, and machine learning.

MIPS (Million Instructions Per Second)

MIPS, on the other hand, measures the overall instruction throughput of a CPU. It represents the number of instructions that the CPU can execute per second. MIPS is a broader measure of performance that encompasses both floating-point and integer operations.

Benchmark Methodology

xOPS CPU Benchmark utilizes a series of tests to assess CPU performance. These tests include:

* Whetstone: A synthetic benchmark that measures overall CPU performance

* Dhrystone: A synthetic benchmark that focuses on integer operations

* Linpack: A benchmark that measures floating-point performance

* STREAM: A benchmark that evaluates memory bandwidth and latency

Results Interpretation

The benchmark results are presented as FLOPS and MIPS values. Higher values indicate better performance.

* FLOPS: A high FLOPS score indicates that the CPU is well-suited for floating-point intensive applications.

* MIPS: A high MIPS score indicates that the CPU has a high overall instruction throughput.

Applications

xOPS CPU Benchmark is a valuable tool for:

* Comparing the performance of different CPUs

* Evaluating the suitability of a CPU for specific applications

* Optimizing code for improved performance

* Identifying performance bottlenecks

Limitations

It is important to note that xOPS CPU Benchmark provides a limited view of CPU performance. It does not account for factors such as:

* Memory bandwidth and latency

* Cache size and organization

* Threading capabilities

Conclusion

xOPS CPU Benchmark is a reliable and widely used tool for assessing CPU performance. It provides accurate measurements of FLOPS and MIPS, enabling users to make informed decisions about hardware selection and software optimization.