Benchmark: eeeeeeeee - MeasureThat.net

Tests:

sqrt
var x = Math.sqrt(4);
div
var y = 4/2

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
sqrt
div

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Linux; Android 10; RMX1921) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.91 Mobile Safari/537.36

Browser/OS: Chrome Mobile 90 on Android

View result in a separate tab

Test name	Executions per second
sqrt	3070078.0 Ops/sec
div	634641728.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided Benchmark Definition JSON and test cases to understand what is being tested, the options being compared, and their pros and cons.

**Benchmark Definition JSON**

The provided Benchmark Definition JSON contains basic information about the benchmark:

* `Name`: A unique identifier for the benchmark (in this case, "eeeeeeeee").
* `Description` and `Html Preparation Code` are empty, which suggests that no detailed description or custom HTML is required for this benchmark.
* `Script Preparation Code` is also empty, implying that no specific setup code is needed before running the benchmark.

**Individual Test Cases**

Two test cases are provided:

1. `"var x = Math.sqrt(4);"`: This benchmark tests the execution speed of the square root function from the JavaScript Math library.
2. `"var y = 4/2"`: This benchmark measures the performance of a simple arithmetic division operation.

**What is being tested**

In general, these benchmarks test the following:

* The execution speed of basic mathematical operations (square root and arithmetic division).
* The impact of different browsers and devices on JavaScript performance.

**Options being compared**

The two test cases compare the performance of:

1. Basic arithmetic operations using built-in functions (`Math.sqrt` and `/`)
2. Simple arithmetic operations without relying on built-in functions (`4/2`)

**Pros and Cons**

**Option 1: Using built-in functions**

Pros:

* Faster execution, as these functions are optimized by JavaScript engines.
* More reliable results, as the same function is being executed.

Cons:

* May not be representative of real-world scenarios where basic arithmetic operations might be performed manually or using different libraries.

**Option 2: Manual arithmetic operations**

Pros:

* Can provide more insight into performance under specific conditions (e.g., lack of built-in support).
* Might be relevant for benchmarking purposes in certain domains (e.g., embedded systems).

Cons:

* Generally slower execution, as manual calculations can be less optimized than built-in functions.
* May not be representative of real-world scenarios where basic arithmetic operations are common.

**Library usage**

In the case of the first test case, `Math.sqrt` is a function from the JavaScript Math library. This library provides various mathematical functions that are optimized for performance and accuracy. Using these built-in functions can provide faster execution times compared to manual calculations or using different libraries.

**Special JS feature or syntax**

There are no special JavaScript features or syntax used in these test cases, but it's worth noting that `Math.sqrt` is a part of the ECMAScript standard and has been supported by most modern JavaScript engines since its introduction.

**Alternatives**

Other alternatives for benchmarking JavaScript performance could include:

1. Using different mathematical libraries or frameworks.
2. Testing more complex algorithms or data structures (e.g., sorting, searching).
3. Measuring the performance of custom-built functions or applications.
4. Comparing the performance of different JavaScript engines (e.g., V8, SpiderMonkey).

Keep in mind that these alternatives might not be directly applicable to this specific benchmark and may require modifications to the test setup or script preparation code.

Related benchmarks:

eeeeeeeee (version: 0)

Comparing performance of: sqrt vs div

Created: 3 years ago by: Guest

Jump to the latest result

sqrt

div

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):