GPU Compare – Compare Browser Benchmark Results
This GPU compare tool uses community-submitted Volume Shader BM browser benchmark results. It places two graphics cards under the same device type, quality preset, and rendering API, giving average FPS, observed submission range, duration, and sample counts a clear workload context.
What Is a GPU Compare Tool?
A GPU comparison—also called a graphics card comparison or GPU benchmark comparison—can answer many different questions. This page deliberately answers one narrow, reproducible question: how did two canonical GPU models perform in submitted Volume Shader BM browser runs when both have data for the same device class, preset, and API? It will not compare a High/WebGL result with a Balanced/WebGPU result, and it will not place a phone-class run beside a desktop-class run as though their workload context were interchangeable.
The comparison is neither vendor-certified nor a whole-system score. It observes one real-time browser ray-marching workload, making it useful for studying WebGL, WebGPU, and fragment-shader behavior. It cannot replace a broad review of games, professional creation, general compute, or efficiency. GPU names come from the existing canonical data pipeline. Generic renderer labels that cannot reliably identify one model remain searchable in the interactive utility, but they are excluded from automatically indexable comparison discovery.
How to Get Started
- 1. Choose GPU A.
- 2. Choose a different GPU B.
- 3. Select a shared device type, preset, and API.
- 4. Review FPS, duration, and submission counts.
- 5. Run and submit your own matched test when useful.
The search controls filter hundreds of canonical models locally, so typing does not send a request for every keystroke. Once two models are chosen, the comparison opens at a stable canonical address that can be bookmarked or shared. The swap control changes the current viewing order, while the canonical URL always uses a deterministic slug order. That distinction preserves a convenient interface without creating duplicate forward and reverse pages for search engines.
How to Read the GPU Comparison
Average FPS is the arithmetic mean of available accepted submissions within one matched dimension. The highest and lowest submitted FPS values are the observed high and low submission averages for that dimension; they are not percentiles synthesized from an aggregate. Average benchmark duration indicates how long included runs lasted on average, while the submission count shows how many observations contributed. A small count—or a large imbalance between the two counts—means one unusual browser environment can carry more influence, so the interface calls that limitation out plainly.
The relative difference uses the lower average FPS result as its baseline: subtract the lower result from the higher one, divide by the lower value, and multiply by 100. The value is rounded to one decimal place. It describes only the selected Volume Shader BM condition. “Recorded 18.4% higher average FPS” must not be rewritten as “is 18.4% faster overall.” If the baseline is zero, missing, negative, or invalid, the tool returns no percentage rather than presenting false precision.
What Can Affect Browser GPU Benchmark Results?
The same graphics card can produce different results because browser brands and versions compile shaders and route graphics work differently. WebGL and WebGPU use distinct backends. VSync, display refresh rate, or another frame-rate cap can hold a result near a fixed ceiling. GPU drivers, operating systems, render resolution, and device pixel ratio change the work performed per frame. Browsers may also throttle animation when the tab loses focus or becomes hidden, making tab visibility part of a fair comparison.
Hardware state matters too. Laptop performance profiles, battery versus plugged-in operation, manufacturer power limits, GPU temperature, and cooling conditions can shift sustained throughput. Games, video calls, encoders, and other graphics applications compete for resources in the background. A short benchmark may capture temporary boost behavior rather than a stable run. For your own GPU performance comparison, keep the browser, preset, API, resolution, power state, and background load consistent, allow temperatures to settle, and repeat the test.
When Is a Graphics Card Comparison Useful?
Compare two upgrade candidates under the same browser shader workload.
Review community trends for alternative laptop GPU configurations.
Place a current GPU beside a newer model at a matched preset.
Establish a browser-rendering reference for a WebGL or WebGPU project.
Check for regression patterns after a driver or browser update.
See whether a personal result broadly aligns with the submitted dataset.
The audience includes PC builders, gamers, laptop buyers, hardware enthusiasts, graphics developers, browser and WebGL/WebGPU engineers, and QA teams. Each group should read the same evidence through its own use case. A developer may care about whether direction changes between APIs, while a buyer should combine this browser signal with independent reviews covering the games or applications they actually expect to run.
Why This Is Not an Absolute GPU Ranking
Volume Shader BM measures a specific real-time volume-shader workload inside a browser. It does not provide game frame rates, ray-tracing performance, CUDA or other compute throughput, AI workload results, video encoding speed, VRAM capacity, power efficiency, acoustics, price, or value. A GPU with a higher submitted average here is not automatically superior in every program, and the result should never be presented as a universal performance ranking.
Use this GPU benchmark comparison as one piece of evidence. Consider its sample counts, whether the direction remains consistent across shared conditions, your own repeatable tests, and independent reviews of the target workload. You can explore the GPU Data Hub, open the community leaderboards, or run the Volume Shader BM benchmark with matching settings. Together those views show both the aggregate signal and the conditions behind it without pretending the browser dataset answers every hardware question.
Frequently Asked Questions
Does a higher average FPS mean a GPU is faster overall?
No. It means that GPU recorded a higher average in the selected submitted Volume Shader BM browser workload. Games, compute, ray tracing, media work, power use, and other workloads are not measured here.
Why is there no result for a preset and API?
Both GPUs must have accepted submissions for the same device type, preset, and rendering API. The tool never fills a missing condition with an estimate or a result from a different workload.
How is the percentage difference calculated?
The displayed difference uses the lower average FPS result as the baseline: the difference divided by the lower value, multiplied by 100. It is rounded to one decimal place.
Can I add my own GPU result?
Yes. Open the benchmark, select a preset and API, allow the run to collect enough valid samples, and submit it. Accepted data appears after the dataset refresh process.