Benchmark: function vs new function

Tests:

new function
(new Function('return true'))()
function (arrow)
(()=>true)()
function
(function test(){return true})()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
new function
function (arrow)
function

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36

Browser/OS: Chrome 103 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
new function	2467527.5 Ops/sec
function (arrow)	996896768.0 Ops/sec
function	1003863488.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down what's being tested in the provided JSON benchmark.

**Benchmark Purpose**

The goal of this benchmark is to compare the performance of three different approaches to creating and executing anonymous functions:

1. Using `new Function()`
2. Using a function expression with an arrow function (`=>` syntax)
3. Using a traditional function declaration (without `new` or arrow syntax)

**Options Compared**

Here's a brief overview of each option:

* **New Function**: `Function()` is used to create a new anonymous function, which is immediately invoked.
* **Arrow Function**: The arrow function syntax (`=>`) allows for concise and expressive functions without the need for a traditional function declaration or `new` keyword.
* **Traditional Function Declaration**: A standard function declaration with parentheses `()` is used.

**Pros and Cons of Each Approach**

Here are some pros and cons for each approach:

* **New Function**:
	+ Pros: Can be used to create complex, one-time-use functions without the need for a separate variable declaration.
	+ Cons: Performance overhead due to the creation of a new function object, which may incur additional memory allocations.
* **Arrow Function**:
	+ Pros: Concise and expressive syntax, fewer semicolons required, easier to read, and maintainable code.
	+ Cons: Limited compatibility with older browsers or environments that don't support arrow functions.
* **Traditional Function Declaration**:
	+ Pros: Wide browser support, well-established syntax, and easy to understand for developers familiar with traditional function declarations.
	+ Cons: More verbose syntax compared to arrow functions, which may lead to less readable code.

**Library Use**

None of the test cases use external libraries. However, it's worth noting that some browsers might include additional JavaScript libraries or resources when running these benchmarks.

**Special JS Features**

There are no special JavaScript features used in this benchmark.

**Benchmark Preparation Code and Execution**

The provided JSON benchmark definitions outline the specific scripts to be executed for each test case:

* `new Function('return true')`: Creates a new anonymous function using `Function()` and immediately invokes it with the argument `'return true'`.
* `=>true()`: Defines an arrow function with the expression `true` and immediately invokes it.
* `(function test(){return true})()`: Creates a traditional function declaration with a single statement (`test()`) that returns `true`, which is then invoked.

**Benchmark Results**

The latest benchmark results show the performance metrics for each test case, including:

* Raw UA string (User Agent)
* Browser name and version
* Device platform and operating system
* Number of executions per second

These results likely indicate the relative performance of each approach across different browsers, devices, and platforms.

Related benchmarks:

function vs new function (version: 0)

Comparing performance of: new function vs function (arrow) vs function

Created: 2 years ago by: Guest

Jump to the latest result

new function

function (arrow)

function

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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