AMD Radeon Pro 560X
About GPU
The AMD Radeon Pro 560X GPU is a powerful and efficient graphics processing unit designed for mobile platforms. With a memory size of 4GB and GDDR5 memory type, it offers fast and smooth performance for various graphic-intensive tasks such as video editing, 3D rendering, and gaming.
The 1470MHz memory clock ensures quick data access and transfer, contributing to the overall speed and responsiveness of the GPU. With 1024 shading units and 1024KB L2 cache, the Radeon Pro 560X delivers high-quality, detailed visuals and realistic graphics. The 75W TDP (Thermal Design Power) ensures that the GPU operates efficiently without consuming excessive power or generating unnecessary heat.
In terms of performance, the Radeon Pro 560X is capable of delivering a theoretical performance of 2.056 TFLOPS, making it suitable for demanding professional applications and gaming experiences. Whether you're a graphic designer, video editor, or avid gamer, this GPU offers the power and capabilities to handle complex tasks and deliver immersive visuals.
Overall, the AMD Radeon Pro 560X GPU is a reliable and capable graphics solution for mobile platforms. Its combination of high memory capacity, fast memory clock, and impressive shading units make it a suitable choice for professionals and gamers alike. If you're in need of a mobile GPU that can handle demanding graphics workloads, the Radeon Pro 560X is definitely worth considering.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
July 2018
Model Name
Radeon Pro 560X
Generation
Radeon Pro Mac
Bus Interface
PCIe 3.0 x8
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
1470MHz
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.
94.08 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.
16.06 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.
64.26 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.
2.056 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.
128.5 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.
2.015
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
Benchmarks
FP32 (float)
Score
2.015
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS