AMD Radeon RX 560 XT
About GPU
The AMD Radeon RX 560 XT is a solid mid-range GPU that delivers impressive performance for its price point. With a base clock of 1074MHz and a boost clock of 1226MHz, this GPU is capable of handling a wide range of tasks, from gaming to graphic design and video editing.
The 4GB of GDDR5 memory and a memory clock of 1750MHz ensure smooth and fast performance, even when handling large and complex tasks. The 1792 shading units and 2MB L2 cache further contribute to the GPU's ability to handle intensive workloads.
One of the standout features of the Radeon RX 560 XT is its 150W TDP, which is relatively efficient compared to other GPUs in its class. This means that it can deliver solid performance without consuming an excessive amount of power or generating unnecessary heat.
In terms of gaming performance, the Radeon RX 560 XT is capable of running most modern games at 1080p with high settings, making it an excellent choice for budget-conscious gamers who still want a smooth and enjoyable gaming experience. Additionally, the theoretical performance of 4.394 TFLOPS ensures that the GPU can handle demanding tasks without breaking a sweat.
Overall, the AMD Radeon RX 560 XT is a reliable and capable mid-range GPU that offers excellent performance for its price. Whether you're a gamer, content creator, or casual user, this GPU is a great option for those looking for solid performance without breaking the bank.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
March 2019
Model Name
Radeon RX 560 XT
Generation
Polaris
Base Clock
1074MHz
Boost Clock
1226MHz
Bus Interface
PCIe 3.0 x16
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.
256bit
Memory Clock
1750MHz
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.
224.0 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.
39.23 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.
137.3 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.
4.394 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.
274.6 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.
4.306
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.
1792
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
150W
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
4.306
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS