GPU XON THE BENCH
Arc A770 16GB
16GB GDDR6
Benchmark FPS at 1080p
184FPS
- Our rating /100
- 60.2/100
- A770s we've tested
- 6
Historical total for this model.
Explore this GPUFOR THE LOVE OF THE UPGRADE
Arc A770 16GB vs RTX 4080 Super 16GB
RTX 4080 Super 16GB leads this benchmark at 463 FPS, compared with 184 FPS for Arc A770 16GB. That is a 279 FPS difference in GPUsed’s continuous 1080p FurMark workload.
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GPU X
Arc A770 16GB
GPU Y
GeForce RTX 4080 Super 16GB
QUICK PICKS257 models. Pick your next move.
GPU YBENCHMARK LEAD
GeForce RTX 4080 Super 16GB
16GB GDDR6X
Benchmark FPS at 1080p
463FPS
- Our rating /100
- 83.2/100
- 4080Supers we've tested
- 31
Historical total for this model.
Explore this GPUArc A770 16GB records 184 FPS versus 463 FPS for RTX 4080 Super 16GB. 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
Arc A770 16GB vs RTX 4080 Super 16GB: the context
RTX 4080 Super 16GB delivers 151.6% more FPS than Arc A770 16GB here while retaining the same 16GB memory capacity. This is an increase in measured benchmark throughput without a larger memory buffer, so an upgrade aimed specifically at fitting bigger textures or datasets needs a separate capacity check.
The exact cards, at a glance
| Detail | Arc A770 16GB | RTX 4080 Super 16GB |
|---|---|---|
| Memory | 16GB GDDR6 | 16GB GDDR6X |
| Documented release | first documented retail availability. documented retail market. | first documented retail availability. documented market. |
| GPUsed archetype | DivisiveThe 16GB Arc flagship | Value Hero |
| GPUsed Legend Rating Editorial legacy rating | 6.0 /10 | 6.1 /10 |
| More about this GPU | Read the Arc A770 16GB profile | Read the RTX 4080 Super 16GB 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.
- Arc A770 16GB: game.intel.com
- Arc A770 16GB: techspot.com
- RTX 4080 Super 16GB: nvidia.com
- RTX 4080 Super 16GB: arstechnica.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.
XArc A770 16GB
184FPS
YRTX 4080 Super 16GB
463FPS
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.