Radeon RX 7900 GRE 16GB
16GB GDDR6
Benchmark FPS at 1080p
368FPS
- Our rating /100
- 76.7/100
- 7900GREs we've tested
- 10
Historical total for this model.
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FOR THE LOVE OF THE UPGRADE
RX 7900 GRE 16GB leads this benchmark at 368 FPS, compared with 257 FPS for RTX 5060 Ti 8GB. That is a 111 FPS difference in GPUsed’s continuous 1080p FurMark workload.
Powered by GPUsedGPU X
Radeon RX 7900 GRE 16GB
GPU Y
GeForce RTX 5060 Ti 8GB
16GB GDDR6
Benchmark FPS at 1080p
368FPS
Historical total for this model.
Explore this GPU8GB GDDR7
Benchmark FPS at 1080p
257FPS
Historical total for this model.
Explore this GPURX 7900 GRE 16GB records 368 FPS versus 257 FPS for RTX 5060 Ti 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
RX 7900 GRE 16GB leads RTX 5060 Ti 8GB by 111 FPS in GPUsed’s continuous 1080p benchmark. Vendor power ratings are 260 W for the RX 7900 GRE 16GB and 180 W for the RTX 5060 Ti 8GB. The two cards have 16GB and 8GB respectively. The faster result comes with a higher published power figure. Check cooling and PSU headroom if you are replacing the RTX 5060 Ti 8GB.
| Detail | RX 7900 GRE 16GB | RTX 5060 Ti 8GB |
|---|---|---|
| Memory | 16GB GDDR6 | 8GB GDDR7 |
| Documented release | first documented retail availability. AMD reference RX 7900 GRE offered through Chinese retailer JD.com on 28 July 2023. | first documented retail availability. documented market. |
| GPUsed archetype | Divisive | Divisive |
| GPUsed Legend Rating Editorial legacy rating | 5.6 /10 | 3.8 /10 |
| More about this GPU | Read the RX 7900 GRE 16GB profile | Read the RTX 5060 Ti 8GB profile |
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.
Read how the benchmark and ratings workKeep one card on the bench and see how the nearby choices compare.
Figures and variant matching checked . GPUsed supplies the benchmark averages and historical quantities. The references below support the GPU identity and specification context.
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
368FPS
257FPS
03 / KEEP IT ON THE BENCH
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04 / UNDER THE HOOD
The right numbers are useful.
Knowing what they mean is better.
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.
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.
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.
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.