AMD Radeon RX 570X
About GPU
The AMD Radeon RX 570X is a powerful and reliable GPU for desktop gaming and content creation. With a base clock of 1168MHz and a boost clock of 1244MHz, this GPU offers smooth and efficient performance for a variety of graphic-intensive tasks. The 8GB GDDR5 memory size and 1750MHz memory clock ensure fast and responsive gameplay, as well as seamless multitasking capabilities.
With 2048 shading units and 2MB L2 cache, the RX 570X delivers impressive rendering and graphical processing power, resulting in stunning visuals and realistic gaming experiences. Additionally, the 150W TDP ensures that the GPU operates efficiently without consuming excessive power or generating unnecessary heat.
One of the standout features of the AMD Radeon RX 570X is its theoretical performance of 5.095 TFLOPS. This highlights the GPU's ability to handle complex calculations and graphic rendering with speed and precision, making it an excellent choice for demanding gaming and professional applications.
Overall, the AMD Radeon RX 570X is a solid choice for gamers and content creators looking for a reliable and high-performance GPU. Its impressive specs, efficient power consumption, and exceptional theoretical performance make it a worthy investment for anyone in need of a capable graphics card for their desktop setup.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
April 2018
Model Name
Radeon RX 570X
Generation
Polaris
Base Clock
1168MHz
Boost Clock
1244MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
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.
39.81 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.
159.2 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.
5.095 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.
318.5 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.
4.993
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.
2048
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
4.993
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS