Benchmark: Math.pow vs Math.sqrt

Script Preparation code:

Math.pow(81, 1.5);

Tests:

jjj
Math.sqrt(81);
hh
Math.pow(81, 1.5);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
jjj
hh

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 YaBrowser/24.4.0.0 Safari/537.36

Browser/OS: Yandex Browser 24 on Windows

View result in a separate tab

Test name	Executions per second
jjj	7071190.0 Ops/sec
hh	6982827.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and explore the JavaScript microbenchmark you've provided.

**Benchmark Definition**

The benchmark is defined by a JSON object that specifies two different mathematical operations: `Math.sqrt(81)` and `Math.pow(81, 1.5)`. The first operation calculates the square root of 81, while the second operation raises 81 to the power of 1.5.

**Options Compared**

The benchmark compares the performance of these two different mathematical operations:

* `Math.sqrt(81)`
* `Math.pow(81, 1.5)`

These two operations differ in their underlying implementation:

* `Math.sqrt(81)` uses a naive algorithm to calculate the square root by repeatedly dividing 81 by a decreasing value until the result is close enough to the actual square root.
* `Math.pow(81, 1.5)` uses an exponentiation by squaring algorithm, which reduces the number of multiplications required to compute the power.

**Pros and Cons**

The choice between these two approaches depends on various factors:

* **Naive Algorithm (Math.sqrt)**:
	+ Pros: Simple to implement, easy to understand.
	+ Cons: May be slow for large inputs due to repeated divisions.
* **Exponentiation by Squaring (Math.pow)**:
	+ Pros: Generally faster and more efficient for large inputs.
	+ Cons: More complex implementation, may require additional memory for temporary results.

**Library Usage**

Both operations use the built-in `Math` library in JavaScript. The `Math.sqrt()` function is a part of the JavaScript standard library since version 1.0 (released in 1995), while the `Math.pow()` function has been around since version 1.2 (released in 1997).

**Special JS Feature/Syntax**

There are no special JavaScript features or syntaxes used in this benchmark.

**Other Considerations**

When comparing the performance of these two operations, it's essential to consider the following:

* **Browser and Platform**: The results may vary depending on the browser and platform used for testing. MeasureThat.net provides test results from multiple browsers and devices.
* **Input Size**: The performance difference between the two operations may be more pronounced for larger input values.

**Alternatives**

If you're interested in exploring alternative approaches, here are some options:

* **Optimized Algorithms**: For certain mathematical operations, there are optimized algorithms available that can significantly improve performance. For example, the `sqrt` function in Google's V8 JavaScript engine uses a faster algorithm.
* **Just-In-Time (JIT) Compilation**: Some JavaScript engines use JIT compilation to optimize performance. MeasureThat.net may not capture the full benefits of JIT compilation for specific operations or microbenchmarks.
* **Native Code**: In some cases, native code can be used to implement mathematical operations, potentially providing even better performance. However, this approach requires platform-specific knowledge and expertise.

In conclusion, the `Math.pow` vs `Math.sqrt` benchmark provides a simple yet informative way to compare the performance of two common mathematical operations in JavaScript. By understanding the underlying algorithms and considerations, developers can make more informed decisions about their code optimization strategies.

Related benchmarks:

Math.pow vs Math.sqrt (version: 0)

Comparing performance of: jjj vs hh

Created: 9 years ago by: Guest

Jump to the latest result

jjj

hh

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):