GPU XBENCHMARK LEAD
GeForce RTX 2080 Super 8GB
8GB GDDR6
Benchmark FPS at 1080p
189FPS
- Our rating /100
- 60.8/100
- 2080Supers we've tested
- 74
Historical total for this model.
Explore this GPUFOR THE LOVE OF THE UPGRADE
RTX 2080 Super 8GB vs RTX 4060 8GB
RTX 2080 Super 8GB leads this benchmark at 189 FPS, compared with 162 FPS for RTX 4060 8GB. That is a 27 FPS difference in GPUsed’s continuous 1080p FurMark workload.
Powered by GPUsed01 / THE BENCH
GPU X
GeForce RTX 2080 Super 8GB
GPU Y
GeForce RTX 4060 8GB
QUICK PICKS257 models. Pick your next move.
GPU YON THE BENCH
GeForce RTX 4060 8GB
8GB GDDR6
Benchmark FPS at 1080p
162FPS
- Our rating /100
- 57.6/100
- 4060s we've tested
- 82
Historical total for this model.
Explore this GPURTX 2080 Super 8GB records 189 FPS versus 162 FPS for RTX 4060 8GB. GPU Y is the percentage reference.
RECORDED BENCHMARKSGPUsed’s recorded 1080p FurMark benchmark averages, not predicted gaming FPS. Quantities are GPUsed’s supplied historical model totals. Exact-model and shared-family historical totals are identified on each card; they are not the retained sample size of the displayed average.
THE MATCH-UP
RTX 2080 Super 8GB vs RTX 4060 8GB: the context
RTX 2080 Super 8GB leads RTX 4060 8GB by 27 FPS in GPUsed’s continuous 1080p benchmark. Both are 8GB options. This comparison helps isolate the speed change in the measured workload. If your current card runs out of memory, compare a larger-capacity model before upgrading.
The exact cards, at a glance
| Detail | RTX 2080 Super 8GB | RTX 4060 8GB |
|---|---|---|
| Memory | 8GB GDDR6 | 8GB GDDR6 |
| Documented release | first documented retail availability. documented market. | first documented retail availability. documented market. |
| GPUsed archetype | Flagship | Workhorse |
| GPUsed Legend Rating Editorial legacy rating | 5.4 /10 | 4.7 /10 |
| More about this GPU | Read the RTX 2080 Super 8GB profile | Read the RTX 4060 8GB profile |
How to read this comparison
The benchmark is GPUsed’s continuous 1080p FurMark workload. The figures compare that workload, rather than predict FPS in a particular game. The percentage on the bench uses GPU Y as its reference: (GPU X FPS ÷ GPU Y FPS − 1) × 100. Swap the cards and the reference changes.
Our rating compresses the benchmark scale out of 100. It does not drive the percentage calculation. GPUsed’s historical quantities retain their model or shared-family labels; they are not the retained sample size of the displayed FPS average.
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Sources and checks
Figures and variant matching checked . GPUsed supplies the benchmark averages and historical quantities. The references below support the GPU identity and specification context.
- RTX 2080 Super 8GB: nvidianews.nvidia.com
- RTX 2080 Super 8GB: anandtech.com
- RTX 4060 8GB: nvidia.com
- RTX 4060 8GB: arstechnica.com
- Additional specification reference 1: nvidia.com
The pair note comes from GPUsed’s reviewed comparison material, with current variant and numeric checks. Individual GPU profiles retain their own documented release qualifications and review dates.
02 / A DIFFERENT VIEW
Put the numbers in perspective.
XRTX 2080 Super 8GB
189FPS
YRTX 4060 8GB
162FPS
03 / KEEP IT ON THE BENCH
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04 / UNDER THE HOOD
Geek out.
Get the context.
The right numbers are useful.
Knowing what they mean is better.
What are these FPS readings?
GPUsed’s recorded average benchmark results from continuous FurMark runs at 1080p. They compare graphics cards under this workload. A game’s settings, your CPU, ray tracing and upscaling can all change in-game performance.
All 257 selectable variants use GPUsed’s supplied results. The reported runs were at 1080p and typically lasted 30–60 minutes. We do not add test sessions or infer gaming frame rates from those results.
Why does swapping change the percentage?
GPU Y is the reference. We divide GPU X’s FPS by GPU Y’s FPS, subtract one and multiply by 100. A positive figure means X leads; a negative figure means Y leads. Swapping changes the reference, so it changes the percentage too.
What is our rating out of 100?
It is the existing compressed benchmark scale, with the fastest card in GPUsed’s dataset at 100. It gives older cards more room on the scale. The percentage difference is always calculated from FPS, never from the rating.
What do the model test counts tell me?
These are GPUsed’s supplied historical totals for each model or recorded model family. They are distinct from the retained sample size of a particular FPS average. They show GPUsed’s experience with each model; they do not tell you how many readings went into a particular FPS average.