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Comparing performance of:
perf1 vs perf2 vs perf3 vs perf4 vs perf5 vs perf6
Created:
8 years ago
by:
Guest
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Tests:
perf1
var x = null;
perf2
var x = performance.now();
perf3
var x = null; console.log(x);
perf4
var x = performance.now(); console.log(x);
perf5
var x = performance.now(); console.log(performance.now() - x);
perf6
var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now(); var x = performance.now();
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (6)
Previous results
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Test case name
Result
perf1
perf2
perf3
perf4
perf5
perf6
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmarking data and explain what's being tested. **Benchmark Overview** The benchmarking platform, MeasureThat.net, allows users to create and run JavaScript microbenchmarks. The benchmarks are represented by a JSON object that contains various settings, including script preparation code, HTML preparation code, and individual test cases. **Test Cases** Each test case is defined as an array of objects, each containing the following properties: 1. `Benchmark Definition`: This property specifies the JavaScript code to be executed during the benchmark. 2. `Test Name`: A unique name for the test case. Let's analyze each test case: * **perf1**: `var x = null;` - This test case simply assigns `null` to a variable and measures its execution time. * **perf2**: `var x = performance.now();` - This test case uses the `performance.now()` function, which returns the current timestamp in milliseconds. The benchmark measures how quickly this function can be called. * **perf3** and **perf4**: These test cases assign a value to a variable (`x`) using `performance.now()`, followed by an unnecessary `console.log(x)` statement. The benchmark measures both the execution time of assigning the value and the time spent printing the value. * **perf5**: This test case assigns a value to `x` using `performance.now()` multiple times, measuring the execution time of each assignment. However, since the variable is reassigned on every iteration, the output of `console.log(x)` will be the last timestamp executed. The benchmark measures the difference between consecutive timestamps. * **perf6**: This test case assigns a value to `x` using `performance.now()` an extremely large number of times (12 iterations). The benchmark measures the execution time of this operation. **Library Used** No specific library is mentioned in the provided data, but it's likely that MeasureThat.net uses a JavaScript runtime environment like V8 (Google's open-source JavaScript engine) to execute the benchmarks. **Special JS Features or Syntax** The `performance.now()` function is used throughout the test cases, which is a built-in JavaScript API for measuring time. This feature is supported by modern browsers and Node.js environments. Now that we've analyzed the benchmarking data, let's discuss the pros and cons of each approach: * **perf1**: Simple assignment to a variable; fast execution time. * **perf2**: Using `performance.now()` for timestamp measurement; relatively slow due to the overhead of measuring time. * **perf3** and **perf4**: Adding unnecessary print statements introduces significant overhead, making these tests slower than expected. * **perf5**: Reassigning a value using `performance.now()` multiple times; while faster than assigning once, the output is unpredictable due to reassignment. * **perf6**: Extremely large number of assignments; likely to be dominated by noise and statistical variations. **Alternatives** If you're looking for alternative benchmarking approaches or libraries, consider: 1. WebAssembly (WASM) benchmarks: Measure performance using WASM's built-in timing functions. 2. JavaScript engines' built-in profilers: Use tools like Chrome DevTools' Profiler or Node.js Inspector to measure performance and identify bottlenecks. 3. Third-party benchmarking libraries: Consider libraries like Benchmark.js, JSPerf, or Microbenchmark for more advanced benchmarking features. Keep in mind that the choice of benchmarking approach and library depends on your specific use case, target audience, and requirements.
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