AMD Radeon RX 560D
The AMD Radeon RX 560D is a budget-friendly desktop GPU that offers impressive performance for its price point. With a base clock of 1090MHz and a boost clock of 1175MHz, this GPU is capable of handling modern games and applications with ease. The 4GB of GDDR5 memory and a memory clock of 1500MHz ensure smooth and lag-free performance, even when dealing with memory-intensive tasks.
One of the standout features of the RX 560D is its 896 shading units, which allow for detailed and vibrant graphics. Additionally, the 1024KB L2 cache further enhances the overall performance of the GPU. With a TDP of 65W, it is also relatively power-efficient, making it a great option for users looking to build a budget-friendly and energy-efficient system.
In terms of raw performance, the RX 560D boasts a theoretical performance of 2.106 TFLOPS, which is more than sufficient for most modern games and applications. Whether you're a casual gamer or a content creator, this GPU offers a good balance of performance and affordability.
Overall, the AMD Radeon RX 560D is a solid choice for budget-conscious consumers looking for a reliable and capable GPU. Its impressive performance, energy efficiency, and affordability make it a great option for anyone looking to upgrade their desktop system without breaking the bank.
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Basic
Label Name
AMD
Platform
Desktop
Launch Date
July 2017
Model Name
Radeon RX 560D
Generation
Polaris
Base Clock
1090MHz
Boost Clock
1175MHz
Bus Interface
PCIe 3.0 x8
Transistors
3,000 million
Compute Units
14
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
56
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 4.0
Memory Specifications
Memory Size
4GB
Memory Type
GDDR5
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
128bit
Memory Clock
1500MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
96.00 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
18.80 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
65.80 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
2.106 TFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
131.6 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
2.148
TFLOPS
Miscellaneous
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
896
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
65W
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.2
OpenCL Version
2.1
OpenGL
4.6
DirectX
12 (12_0)
Power Connectors
None
Shader Model
6.4
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
16
Suggested PSU
250W
Benchmarks
FP32 (float)
Score
2.148
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS