Radeon RX 560 (1024 SP) 4GB
4GB VRAM
Benchmark FPS at 1080p
36FPS
- Our rating /100
- 34/100
- 560s we've tested
- 5
Shared family total: Radeon RX 560 4GB.
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FOR THE LOVE OF THE UPGRADE
RX 560 (1024 SP) 4GB leads this benchmark at 36 FPS, compared with 31 FPS for RX 560 (896 SP) 2GB. That is a 5 FPS difference in GPUsed’s continuous 1080p FurMark workload.
Powered by GPUsedGPU X
Radeon RX 560 (1024 SP) 4GB
GPU Y
Radeon RX 560 (896 SP) 2GB
4GB VRAM
Benchmark FPS at 1080p
36FPS
Shared family total: Radeon RX 560 4GB.
Explore this GPU2GB VRAM
Benchmark FPS at 1080p
31FPS
Shared family total: Radeon RX 560 2GB.
Explore this GPURX 560 (1024 SP) 4GB records 36 FPS versus 31 FPS for RX 560 (896 SP) 2GB. 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
The RX 560 with 1,024 processors and 4 GB records 36 FPS versus 31 FPS for the 896-processor 2 GB model in GPUsed’s 1080p FurMark workload. It adds memory and stream processors at the same time, so this pair cannot isolate the effect of either change. For a compact PC, check the exact board’s external power requirement. Sapphire documents a 45 W 896-processor 2 GB board that draws power from the slot.
| Detail | RX 560 (1024 SP) 4GB | RX 560 (896 SP) 2GB |
|---|---|---|
| Memory | 4GB VRAM | 2GB VRAM |
| Documented release | first documented retail availability. Exact PowerColor 4 GB 1,024-SP board first listed on 11 May 2017. | first documented retail availability. Exact ASUS 2 GB 896-SP board first listed on 20 September 2018. |
| GPUsed archetype | Workhorse | Divisive |
| GPUsed Legend Rating Editorial legacy rating | 4.5 /10 | 3.4 /10 |
| More about this GPU | Read the RX 560 (1024 SP) 4GB profile | Read the RX 560 (896 SP) 2GB 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
36FPS
31FPS
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.