Benchmark: zdzdzdzdzdz - MeasureThat.net

Tests:

32b
const W=300,H=300; //create canvas let c = document.createElement('canvas'); let ctx = c.getContext('2d'); c.width=W; c.height=H; c.style.border='1px solid white'; document.body.appendChild(c); //create image let img = ctx.createImageData(W,H); //create 32bit reference to img; let buf32 = new Uint32Array(img.data.buffer); //set pixel via 32bit reference to the 8bit array in img function setPix(x,y,a,r,g,b) { buf32[y*W+x] = (a << 24) | // alpha (b << 16) | // blue (g << 8) | // green r; // red } function loop() { for (let i=0; i<W; i++) { for (let j=0; j<H; j++) { let r1 = Math.floor(Math.random() * 255); let r2 = Math.floor(Math.random() * 255); let r3 = Math.floor(Math.random() * 255); setPix(j,i,255,r1,r2,r3); } } ctx.putImageData(img,0,0); } loop();
8b+32b
const W=300,H=300; //create canvas let c = document.createElement('canvas'); let ctx = c.getContext('2d'); c.width=W; c.height=H; c.style.border='1px solid white'; document.body.appendChild(c); let img = ctx.createImageData(W,H); //create empty buffer var imgbuf = new ArrayBuffer(img.data.length); //create 8bit reference to img; var buf8 = new Uint8ClampedArray(imgbuf); //create 32bit reference to img; let buf32 = new Uint32Array(imgbuf); //set pixel via 32bit reference to the 8bit array in img function setPix(x,y,a,r,g,b) { buf32[y*W+x] = (a << 24) | // alpha (b << 16) | // blue (g << 8) | // green r; // red } function loop() { for (let i=0; i<W; i++) { for (let j=0; j<H; j++) { let r1 = Math.floor(Math.random() * 255); let r2 = Math.floor(Math.random() * 255); let r3 = Math.floor(Math.random() * 255); setPix(j,i,255,r1,r2,r3); } } img.data.set(buf8); ctx.putImageData(img,0,0); } loop();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
32b
8b+32b

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark definition and test cases, explaining what is tested, the pros and cons of different approaches, and other considerations.

**Benchmark Definition**

The benchmark definition is represented by a JSON object that contains metadata about the test case, such as its name, description, and script preparation code. In this case, there are no script preparation codes provided, which means the tests will be executed from scratch every time they run.

**Test Cases**

There are two test cases:

1. **"32b"`**: This test case creates a canvas element with a width and height of 300 pixels, then creates an image data object with the same dimensions. It sets up a function `setPix` to set individual pixels in the image using a 32-bit reference to the image data array.
2. **"8b+32b"`**: This test case is similar to the previous one, but it also creates an empty buffer and an 8-bit reference to it. It then sets up another function `setPix` that uses this 8-bit reference instead of the 32-bit reference.

**Options Compared**

The two test cases compare the performance of using a 32-bit reference to the image data array versus an 8-bit reference, with the added overhead of creating and manipulating an empty buffer in the second test case.

**Pros and Cons**

Using a 32-bit reference:

* Pros:
	+ More efficient memory usage
	+ Faster access times for individual pixels
* Cons:
	+ Requires more memory bandwidth due to the larger data type

Using an 8-bit reference:

* Pros:
	+ Less memory bandwidth required
	+ Possibly faster execution time due to reduced overhead of accessing smaller data types
* Cons:
	+ Requires more code and manipulation to achieve similar performance as a 32-bit reference

**Other Considerations**

* The use of `Uint32Array` and `Uint8ClampedArray` implies that the benchmark is measuring performance in terms of memory access and bandwidth, rather than CPU cycles or other factors.
* The presence of `Math.random()` suggests that the benchmark may be measuring timing variability or randomness in the system.
* The inclusion of a large number of random pixel assignments (`let r1 = Math.floor(Math.random() * 255);`) implies that the benchmark is attempting to measure performance under high concurrency conditions.

**Alternative Approaches**

Other alternatives could include:

* Using different data types, such as `Float32Array` or `Int8Array`, to compare performance.
* Adding more complex operations or patterns to the test case, such as animations or simulations, to increase realism and variability.
* Using a different rendering engine or API, such as WebGL or SVG, to measure performance under different conditions.
* Measuring performance in terms of CPU cycles or other factors, rather than memory access or bandwidth.

Overall, this benchmark appears to be measuring the performance of accessing and manipulating image data arrays using different data types and reference types. The results will likely provide insight into the trade-offs between memory efficiency, performance, and code complexity in graphics rendering and image processing applications.

Related benchmarks:

zdzdzdzdzdz (version: 0)

zddzd

Comparing performance of: 32b vs 8b+32b

Created: 4 years ago by: Guest

Jump to the latest result

32b

8b+32b

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):