Benchmark: Floating Point ToFixed

Script Preparation code:

var test = 1.345679334567743;
var fractionalDigits = 3;

Tests:

ToFixed
test.toFixed(fractionalDigits);
Round
var k = !!fractionalDigits ? Math.pow(10, fractionalDigits) : 1; Math.round(test * k) / k

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ToFixed
Round

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/136.0.0.0 Safari/537.36

Browser/OS: Chrome 136 on Windows

View result in a separate tab

Test name	Executions per second
ToFixed	1860179.1 Ops/sec
Round	2183044.5 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 JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Overview**

The benchmark measures the performance of two approaches: `toFixed` and `round`. Both methods are used to convert floating-point numbers to integers with a specified number of fractional digits. The test cases aim to compare the execution speed and efficiency of these two approaches.

**Options Compared**

The two options being compared are:

1. **`toFixed`**: This method uses the built-in `toFixed` function to convert the float value to a string with the specified number of fractional digits.
2. **`round`**: This approach multiplies the float value by a power of 10 (based on the number of fractional digits), rounds the result to an integer, and then divides it by that same power of 10.

**Pros and Cons**

* **`toFixed`**:
	+ Pros: Simple, straightforward implementation. Built-in function is likely optimized for performance.
	+ Cons: May be slower due to string manipulation, and the resulting string may not be as compact as a numerical value.
* **`round`**:
	+ Pros: Can produce more compact results, and might be faster since it avoids string manipulation. However, it requires additional arithmetic operations.
	+ Cons: More complex implementation, and may be slower due to the extra calculations.

**Library and Special JS Features**

There is no explicit library mentioned in the benchmark definition or test cases. However, both approaches rely on built-in JavaScript functions (`toFixed` and `round`) that are part of the ECMAScript standard.

No special JavaScript features are explicitly used in this benchmark. The focus is solely on comparing the performance of these two numerical conversion methods.

**Other Considerations**

When writing a microbenchmark like this, it's essential to consider the following:

* **Synchronization**: Make sure that the benchmark execution is synchronized and does not introduce any variability due to concurrent operations or other factors.
* **Input Data**: Use representative input data to ensure that the results are accurate and reliable. In this case, the input data is a single floating-point value (`test`) with a fixed number of fractional digits.
* **Benchmarking Framework**: MeasureThat.net provides a convenient benchmarking framework, which helps mitigate some common issues like synchronization and input variability.

**Alternative Approaches**

Other approaches to convert floating-point numbers to integers with a specified number of fractional digits might include:

* Using a library like `decimal.js` or `mathjs` that provides more precise arithmetic operations.
* Implementing a custom rounding algorithm using bitwise operations, such as shifting the binary representation of the float value.
* Using a hybrid approach that combines multiple techniques, such as using `toFixed` for smaller fractional digits and `round` for larger ones.

Keep in mind that these alternative approaches might introduce additional complexity or performance overhead, depending on the specific requirements and constraints of your use case.

Related benchmarks:

Floating Point ToFixed (version: 0)

Comparing performance of: ToFixed vs Round

Created: 7 years ago by: Guest

Jump to the latest result

ToFixed

Round

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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