AMD Radeon Pro 560
The AMD Radeon Pro 560 GPU is a solid option for professionals and gamers looking for a reliable and efficient mobile graphics solution. With 4GB of GDDR5 memory, a memory clock of 1270MHz, and 1024 shading units, this GPU is capable of handling a wide range of tasks, from graphic design and video editing to gaming and 3D modeling.
One of the standout features of the Radeon Pro 560 is its 1.858 TFLOPS theoretical performance, which ensures smooth and responsive graphics rendering, even when dealing with complex and demanding applications. The 1024KB L2 cache further enhances the GPU's ability to handle large datasets and process information quickly.
With a TDP of 75W, the Radeon Pro 560 strikes a good balance between performance and power efficiency, making it a suitable choice for mobile devices where battery life is a concern.
In terms of real-world performance, the Radeon Pro 560 delivers crisp, detailed visuals and smooth frame rates in games and professional applications. The GPU is also capable of handling VR content, making it a great choice for users interested in virtual reality experiences.
Overall, the AMD Radeon Pro 560 GPU is a versatile and capable graphics solution that offers a good balance of performance, power efficiency, and features, making it a solid choice for professionals and gamers alike.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
April 2017
Model Name
Radeon Pro 560
Generation
Radeon Pro Mac
Bus Interface
PCIe 3.0 x8
Transistors
3,000 million
Compute Units
16
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.
64
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
1270MHz
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.
81.28 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.
14.51 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.
58.05 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.
1.858 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.
116.1 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.
1.821
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.
1024
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
75W
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
Benchmarks
FP32 (float)
Score
1.821
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS