Benchmark: eval vs math operator

Tests:

eval
const number1 = 23; const number2 = 10; const multiply = true; const result = eval`${number1}${multiply ? "*" : "/"}${number2}`;
math op
const number1 = 23; const number2 = 10; const multiply = true; const result = number1 * number2;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
eval
math op

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

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

**Benchmark Definition**

The benchmark is defined by two test cases:

1. **`"eval"`**: This test case uses the `eval()` function to calculate the result of multiplying two numbers, `number1` and `number2`, with a multiplier flag `multiply`. The calculation is done using template literals (``${number1}${multiply ? "*" : "/"}``) that inject the operator (either `*` or `/`) based on the value of `multiply`.
2. **`"math op"`**: This test case uses plain arithmetic multiplication to calculate the result of multiplying two numbers, `number1` and `number2`, with a multiplier flag `multiply`.

**Options Compared**

The benchmark compares the performance of using `eval()` versus plain arithmetic multiplication.

**Pros and Cons**

**`eval()`:**

Pros:

* Easy to write and maintain code that performs complex calculations
* Can be used for arbitrary expressions, not just simple arithmetic

Cons:

* Slower than plain arithmetic operations due to the overhead of parsing and executing user-supplied code
* Can pose security risks if the input is not properly sanitized or validated

**Plain Arithmetic Multiplication:**

Pros:

* Faster than `eval()` since it avoids the overhead of parsing and executing user-supplied code
* More predictable performance since it only involves simple arithmetic operations

Cons:

* May require more code to implement complex calculations
* Less flexible than `eval()`, as it requires a fixed set of operators to be used.

**Library Used**

In this benchmark, no specific library is used. The calculation is performed using built-in JavaScript functions and operators.

**Special JS Features/Syntax**

This benchmark does not use any special JavaScript features or syntax beyond what's available in the standard language.

**Alternatives**

Other alternatives for performing calculations include:

* Using a library like `MathJS` or `numjs`, which provide optimized mathematical functions
* Implementing custom arithmetic libraries using C++ or other low-level languages (e.g., WebAssembly)
* Using parallel processing techniques, such as multi-threading or GPU acceleration

Keep in mind that the choice of implementation depends on the specific requirements and constraints of your project.

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/107.0.0.0 Safari/537.36

Browser/OS: Chrome 107 on Windows

View result in a separate tab

Test name	Executions per second
eval	5683406.0 Ops/sec
math op	1367502080.0 Ops/sec

Related benchmarks:

eval vs math operator (version: 0)

Comparing performance of: eval vs math op

Created: one year ago by: Guest

Jump to the latest result

eval

math op

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):