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Test benchmark # 2
(version: 0)
Benchmark.js
New version of MeasureThat.net
Comparing performance of:
Test case #1 vs Test case #2
Created:
2027 years ago
by:
Registered User
Go to the latest result
HTML Preparation code:
<div>yo</div>
Script Preparation code:
var i = 0;
Tests:
Test case #1
i++;
Test case #2
i--;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Test case #1
Test case #2
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
6 months ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36
Browser/OS:
Chrome 142 on Linux
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Embed Benchmark Result
Test case #2
14.8M/s
Test case #1
14.7M/s
View exact numbers
Test name
Executions per second
✓
Test case #2
14,836,859 Ops/sec
Test case #1
14,675,567 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the Benchmark Definition and test cases to understand what's being tested. **Benchmark Definition** The provided JSON defines a benchmark with two main components: 1. **Script Preparation Code**: `var i = 0;` - This code is executed once before running the actual benchmark. It sets an initial value of `i` to 0. 2. **Html Preparation Code**: `<div>yo</div>` - This code is used to generate a simple HTML element that will be displayed in the benchmark results page. **Test Cases** The benchmark consists of two individual test cases, each defined by: 1. **Benchmark Definition**: A JavaScript statement or expression to be executed repeatedly. 2. **Test Name**: A unique identifier for each test case. In this case, the two test cases are: * `i++;` (incrementing a variable) * `i--;` ( decrementing a variable) **Options Comparison** When running benchmarks like these, options such as compiler optimizations, caching, or loop unrolling can impact performance. Here's a brief overview of the pros and cons of each approach: 1. **No optimization**: * Pros: Simple, easy to understand, and reproduceable results. * Cons: May not be representative of real-world scenarios or performance-critical code. 2. **Loop unrolling**: * Pros: Can lead to significant performance improvements in certain cases. * Cons: Requires careful tuning and may introduce additional complexity. 3. **Cache-based optimization**: * Pros: Can provide better cache locality and reduce memory accesses. * Cons: May not be relevant for all types of workloads or architectures. In the case of the provided benchmark, loop unrolling is unlikely to have a significant impact, as the increment/decrement operations are simple and don't benefit from optimization. **Library Usage** There is no apparent library usage in this benchmark. The script preparation code and html preparation code are basic JavaScript snippets that don't rely on any external libraries. **Special JS Features or Syntax** The provided benchmark doesn't use any special JavaScript features or syntax. However, if we were to consider other scenarios, some examples of special features or syntax might include: * `const`/`let` declarations * Arrow functions * Class expressions * Promises and async/await These features are used extensively in modern JavaScript code and can have a significant impact on performance. **Other Alternatives** If you were to create your own benchmark, some alternatives to consider include: 1. **GPU-based benchmarks**: Measure the performance of GPU-accelerated computations or compute-intensive algorithms. 2. **WebAssembly benchmarks**: Test the performance of WebAssembly (WASM) modules and their interaction with JavaScript engines. 3. **Thread-level benchmarks**: Compare the performance of different threading models, such as parallel loops or async/await. When designing a benchmark, it's essential to carefully consider the scope, relevance, and representativeness of the tests to ensure accurate and meaningful results.
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