AMD Radeon RX 570 X2
About GPU
The AMD Radeon RX 570 X2 GPU is a mid-range graphics card that offers good performance at an affordable price. With a base clock of 1120MHz and a boost clock of 1206MHz, it provides smooth and responsive gameplay for most modern titles, making it a great option for casual and mid-level gamers.
One of the standout features of the RX 570 X2 is its 8GB of GDDR5 memory, which allows for high-resolution textures and smooth performance at higher resolutions. The 2100MHz memory clock ensures that the GPU can handle memory-intensive tasks with ease, providing a lag-free gaming experience.
With 2048 shading units and 2MB of L2 cache, the RX 570 X2 is capable of handling complex graphical tasks without breaking a sweat. The 180W TDP means that it may require a slightly more robust power supply, but the theoretical performance of 4.94 TFLOPS ensures that it can handle most modern games without any issues.
Overall, the AMD Radeon RX 570 X2 GPU is a solid choice for gamers on a budget or those looking for a mid-range graphics card that offers good performance without breaking the bank. Its combination of affordable pricing, solid performance, and ample memory makes it a compelling option for anyone in the market for a new GPU for their desktop gaming rig.
Basic
Label Name
AMD
Platform
Desktop
Model Name
Radeon RX 570 X2
Generation
Mining GPUs
Base Clock
1120MHz
Boost Clock
1206MHz
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
2100MHz
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.
268.8 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.
38.59 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.
154.4 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.
4.940 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.
308.7 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.
4.841
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
180W
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
4.841
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS