Benchmark: testing - MeasureThat.net

Tests:

s1
var x = true; var a = 54; var b = 14; if(x){ for(m=0;m<1000;m+=2){ var z = a+m*b; }; for(m=1;m<1000;m+=2){ var z = -a-m*b; }; } else { for(m=0;m<1000;m++){ var z = a+m*b; }; };
s2
var x = 2; var a = 54; var b = 14; for(m=0;m<1000;m++){ var z = (-(m%x*2-1)*a)+(-(m%x*2-1)*m)*b; };
s12
var x = true; var a = 54; var b = 14; var d = 67; var c = 580; if(x){ for(m=0;m<100;m+=2){ var z = Math.round(Math.sin(a+m*b)*d+c)+Math.round(Math.cos(a+m*b)*d+c); var z = a+m*b; }; for(m=1;m<100;m+=2){ var z = Math.round(Math.sin(-a-m*b)*d+c)+Math.round(Math.cos(-a-m*b)*d+c); }; } else { for(m=0;m<100;m++){ var z = Math.round(Math.sin(a+m*b)*d+c)+Math.round(Math.cos(a+m*b)*d+c); }; };
s22
var x = 2; var a = 54; var b = 14; var d = 67; var c = 580; for(m=0;m<100;m++){ var z = Math.round(Math.sin((-(m%x*2-1)*a)+(-(m%x*2-1)*m)*b)*d+c)+Math.round(Math.cos((-(m%x*2-1)*a)+(-(m%x*2-1)*m)*b)*d+c); };

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
s1
s2
s12
s22

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's dive into the world of JavaScript microbenchmarks!

**Benchmark Definition**

The provided JSON represents the benchmark definition, which is empty in this case (`"Script Preparation Code": null` and `"Html Preparation Code": null`). This means that the script preparation code or HTML preparation code are not required for the benchmark.

However, it's essential to note that a good benchmark typically includes:

* A clear description of the test case
* Relevant setup and teardown code (script preparation and html preparation)
* A consistent way to execute the test cases

In this case, we can assume that the benchmark is designed to measure the performance of JavaScript code in various scenarios.

**Individual Test Cases**

The provided JSON contains four test cases:

1. `s1`: This test case uses a simple if-else statement with two loops, which calculates the value of `z` based on the condition `x`.
2. `s2`: This test case uses another simple loop that calculates the value of `z` using modular arithmetic.
3. `s12` and `s22`: These test cases use a more complex loop structure, involving trigonometric functions (sin and cos) and modular arithmetic.

**Library Usage**

There is no explicit mention of any libraries used in these benchmark definitions. However, it's likely that the benchmarks are designed to measure the performance of JavaScript code without external library dependencies.

**Special JS Features or Syntax**

The test cases use some special JavaScript features:

* `m%` (modulo operator) in `s2` and `s12/s22`: This is used for modular arithmetic.
* Trigonometric functions (`Math.sin`, `Math.cos`) in `s12/s22`: These are used to calculate the value of `z`.

**Options Compared**

The test cases compare different approaches:

* Loop structure: Simple if-else statements with two loops vs. a single loop
* Modular arithmetic: No modular arithmetic in `s1` and `s2`, but present in `s12/s22`
* Trigonometric functions: Presence or absence of trigonometric functions

**Pros and Cons**

Here are some pros and cons for each approach:

* Simple if-else statements with two loops (e.g., `s1`):
	+ Pros: Easy to understand, predictable performance
	+ Cons: May be too simple for real-world scenarios, lacks variations in loop structure
* Single loop (e.g., `s2` and modified versions of `s12/s22`):
	+ Pros: More efficient use of resources, can lead to better cache locality
	+ Cons: Can be harder to understand, may require more complex logic for optimization

**Other Alternatives**

If you're looking for alternatives or variations on these approaches:

* You could explore using different loop structures (e.g., recursive loops, while loops) in your benchmarks.
* Consider incorporating additional factors that affect performance, such as array sizes or memory allocation.
* If possible, test with multiple JavaScript engines or platforms to ensure the results are representative of real-world scenarios.

Keep in mind that these test cases are designed to measure specific aspects of JavaScript performance. Depending on your goals and use case, you may want to explore other benchmarks or variations.

Related benchmarks:

testing (version: 0)

Comparing performance of: s1 vs s2 vs s12 vs s22

Created: 8 years ago by: Guest

Jump to the latest result

s1

s2

s12

s22

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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