Benchmark: log10 vs string len

Script Preparation code:

var a = 123456;
var b = 1;
var c = 123456.0132456;
var d = 1

Tests:

log10
Math.floor(Math.log10(a)); Math.floor(Math.log10(b)); Math.floor(Math.log10(c)); Math.floor(Math.log10(d));
string len
a.toString().length; b.toString().length; c.toString().length; d.toString().length;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
log10
string len

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 months ago)

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:143.0) Gecko/20100101 Firefox/143.0

Browser/OS: Firefox 143 on Linux

View result in a separate tab

Test name	Executions per second
log10	74423360.0 Ops/sec
string len	978197504.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what is tested on that website.

**Benchmark Definition**

The benchmark definition represents a piece of JavaScript code that will be executed multiple times to measure performance. In this case, there are two benchmarks:

1. `log10`: This benchmark measures the execution time of `Math.floor(Math.log10(a));`, where `a` is a variable initialized with different values (123456, 1, and 123456.0132456). The purpose of this benchmark is to compare the performance of using the logarithm base 10 function (`Math.log10`) versus simply converting the number to a string and getting its length.
2. `string len`: This benchmark measures the execution time of `a.toString().length`, where `a` is the same variable as above. The purpose of this benchmark is to compare the performance of using the `toString()` method to get the length of a string versus simply using the logarithm base 10 function.

**Options Compared**

The two options being compared are:

1. Using `Math.log10(a)` (benchmark: `log10`)
2. Converting the number to a string and getting its length (`a.toString().length`) (benchmark: `string len`)

**Pros and Cons of Each Approach**

* **Using `Math.log10(a)`**:
	+ Pros:
		- More accurate way to calculate the logarithm base 10.
		- Can be used for a wider range of mathematical operations.
	+ Cons:
		- May have higher overhead due to function call and argument passing.
		- May not be as efficient on some hardware architectures.
* **Converting to string and getting length**:
	+ Pros:
		- Often faster due to simpler operation (string comparison).
		- Less overhead compared to using `Math.log10(a)`.
	+ Cons:
		- Less accurate for calculating logarithms.
		- May not be suitable for all use cases.

**Library Usage**

There is no explicit library usage in the provided code snippets. However, it's worth noting that `Math.log10` is a built-in JavaScript function that uses a mathematical formula to calculate the logarithm base 10.

**Special JS Features or Syntax**

No special JS features or syntax are used in these benchmarks.

**Other Considerations**

When choosing between these two approaches, consider the specific use case and requirements. If accuracy is crucial, using `Math.log10(a)` might be a better choice. However, if speed is more important, converting to a string and getting its length (`a.toString().length`) could be a faster option.

**Alternatives**

Other alternatives for measuring performance in JavaScript benchmarks include:

1. Using V8 benchmarking tools, which provide more detailed information on CPU and memory usage.
2. Implementing custom benchmarking loops using `Date.now()` or other high-resolution timing functions.
3. Using libraries like Benchmark.js or Microbenchmark to simplify the process of creating and running benchmarks.

I hope this explanation helps!

Related benchmarks:

log10 vs string len (version: 0)

Comparing performance of: log10 vs string len

Created: 3 years ago by: Guest

Jump to the latest result

log10

string len

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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