How to Compare NVIDIA vs AMD GPUs in a WebGL Benchmark (Fairly)

"NVIDIA or AMD?" is one of the oldest questions in PC hardware, and the internet is full of confident answers that conveniently ignore the only thing that matters: how the comparison was actually run. Comparing two graphics cards fairly is harder than it looks, and comparing them specifically in a browser-based WebGL workload adds its own wrinkles. This guide explains how to compare NVIDIA vs AMD GPUs in a WebGL benchmark honestly — controlling the variables that otherwise turn a meaningful test into a meaningless number.

Why browser/WebGL comparisons are different

Most published GPU comparisons come from native games or synthetic suites. But an increasing share of real workloads — WebGL games, web-based 3D tools, in-browser rendering, and increasingly WebGPU applications — run through the browser's graphics stack. That stack introduces variables native tests never touch:

• Browser and version — Chrome, Firefox, and Safari have different WebGL implementations and performance.
• Graphics backend — the browser may use different drivers (ANGLE, native OpenGL, Vulkan/Metal translation layers) on each vendor.
• Driver optimisation — vendors optimise their drivers for different workloads.

This means a card that wins in a native game can perform differently in a browser test, and vice versa. A browser-native benchmark like the Volume Shader BM or the GPU stress test measures the stack as users actually experience it.

The fairness principle: A vendor comparison is only as good as its constants. The moment two cards run different browsers, settings, or resolutions, the result stops measuring the cards and starts measuring your testing setup.

Step-by-step: a fair NVIDIA vs AMD comparison

1. Match the hardware tier

Comparing a $200 AMD card to an $800 NVIDIA card proves nothing about the brands. Pick cards in the same price and performance tier — the comparison people actually care about is "at this budget, which is faster?"

2. Use identical software conditions

This is where most comparisons break. Lock down:

• Same browser and exact version on both systems.
• Same operating system and updates.
• Latest stable driver from each vendor (do not compare a fresh NVIDIA driver against a 6-month-old AMD one).
• Same resolution and quality settings in the benchmark.
• Background apps closed on both machines.

3. Run the same WebGL benchmark on both

Use a deterministic browser benchmark so the workload is byte-for-byte identical. Run the Volume Shader BM (shader/compute throughput), a VRAM bandwidth test, and the broad GPU stress test to cover different bottlenecks.

4. Warm up and take the median

Both cards need a warm-up pass (discarded) and then three real runs whose median you report. This removes one-off variance from boost-clock behaviour and background tasks.

5. Check utilization on both

If NVIDIA hits 99% utilization and AMD sits at 75%, the AMD card is bottlenecked by something else (CPU, driver overhead, or a software cap) — the score does not reflect its raw capability. Fair comparison requires both cards to be the actual limit.

Reading the result the right way

Suppose your numbers look like this:

Workload	NVIDIA	AMD	Gap
Shader throughput (Volume Shader BM)	12,100	11,400	NVIDIA +6%
VRAM bandwidth	9,800	10,900	AMD +11%
Sustained stress (avg FPS)	118	116	Tie

The honest conclusion is not "NVIDIA wins" or "AMD wins." It is: in this tier, NVIDIA leads on shader throughput while AMD leads on memory bandwidth, and under sustained load they are essentially tied. Different workloads reward different architectures — a single number would have hidden that.

The vendor differences that actually matter

Beyond raw scores, a few practical factors often decide the real-world winner:

Factor	Typical trade-off
Driver overhead / CPU pairing	Some stacks favour one vendor on weaker CPUs
Power efficiency	Often differs meaningfully at a given performance level
Feature support	New APIs and extensions sometimes land on one vendor first
Price/availability	The same dollar buys different amounts of performance over time
Software ecosystem	Vendor tools, recording, upscalers differ

None of these show up in a single benchmark score, but all of them shape the experience over a card's life.

Common comparison traps to avoid

• Different browsers or drivers between the two cards.
• Different tiers (cheap vs. flagship) dressed up as a brand comparison.
• Cherry-picking one workload where one vendor happens to lead.
• Ignoring utilization, so a CPU bottleneck masquerades as a GPU verdict.
• Single runs instead of medians, letting variance decide a "winner."
• Old vs. fresh drivers, which alone can swing results by double digits.

Conclusion

There is no universal answer to "NVIDIA or AMD" — there is only the answer for your tier, your workload, and your software stack, measured fairly. To compare them in a WebGL benchmark, match the price tier, lock the browser/driver/OS/settings to be identical on both, warm up and take the median, check utilization, and look at several workloads rather than a single score. Run shader, memory, and sustained stress tests side by side, and you will get the only honest answer: where each brand genuinely wins, and where they are simply tied.