AMD Radeon RX 560DX
About GPU
The AMD Radeon RX 560DX is a budget-friendly GPU designed for desktop gaming and multimedia usage. With a base clock of 1090MHz and a boost clock of 1175MHz, this GPU offers smooth performance for a variety of tasks. The 4GB of GDDR5 memory with a memory clock of 1500MHz ensures that it can handle modern games and multimedia content with ease.
With 896 shading units and a TDP of 65W, the RX 560DX strikes a good balance between performance and power efficiency. The 1024KB L2 cache further enhances its capabilities, allowing for quick access to frequently used data. Additionally, the theoretical performance of 2.106 TFLOPS ensures that the GPU can handle demanding workloads without breaking a sweat.
Overall, the RX 560DX offers a compelling option for budget-conscious PC builders and gamers. It's capable of handling 1080p gaming with decent frame rates and can also handle multimedia tasks such as video editing and content creation. The low power requirements make it suitable for a wide range of desktop systems, including small form factor builds.
However, it's worth noting that the RX 560DX may struggle with 4K gaming and more demanding tasks such as high-resolution video editing. For those looking for a budget-friendly, entry-level GPU for 1080p gaming and multimedia usage, the AMD Radeon RX 560DX is a solid choice.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
April 2018
Model Name
Radeon RX 560DX
Generation
Polaris
Base Clock
1090MHz
Boost Clock
1175MHz
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
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.
2.064
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
Benchmarks
FP32 (float)
Score
2.064
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS