AMD Radeon RX 570 Mobile
About GPU
The AMD Radeon RX 570 Mobile GPU is a solid graphics card option for those seeking a reliable and powerful solution for their mobile computing needs. With a base clock of 926MHz and a boost clock of 1206MHz, this GPU delivers speedy performance and smooth visuals for a variety of tasks, including gaming, video editing, and more.
One standout feature of this GPU is its generous 8GB of GDDR5 memory, which ensures that users can easily multitask and run demanding applications without experiencing lag or slowdown. The memory clock of 1650MHz further enhances the card's performance, making it well-suited for handling high-resolution content and graphics-intensive workloads.
With 2048 shading units and 2MB of L2 cache, the RX 570 offers impressive rendering capabilities and efficient processing of complex visuals. Additionally, the GPU's 85W TDP and theoretical performance of 4.94 TFLOPS make it a well-balanced option for users looking for a combination of power and energy efficiency.
Overall, the AMD Radeon RX 570 Mobile GPU is a commendable choice for individuals in need of a robust and versatile graphics solution for their mobile devices. Its strong performance, ample memory, and efficient design make it a valuable addition to any laptop or portable workstation, allowing users to enjoy an enhanced visual experience and seamless multitasking without compromise.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
December 2017
Model Name
Radeon RX 570 Mobile
Generation
Mobility Radeon
Base Clock
926MHz
Boost Clock
1206MHz
Bus Interface
MXM-B (3.0)
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
1650MHz
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.
211.2 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
85W
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