AMD Radeon Pro V520
About GPU
The AMD Radeon Pro V520 is a high-performance GPU designed for desktop workstations. With a base clock of 1000MHz and a boost clock of 1600MHz, it offers excellent speed and performance for demanding tasks such as 3D rendering, video editing, and gaming. The GPU is equipped with 8GB of HBM2 memory, which allows for high-speed data processing and smooth multitasking.
One of the standout features of the Radeon Pro V520 is its 2304 shading units, which enable realistic lighting, shadow, and texture effects in graphics-intensive applications. The 4MB L2 cache further enhances the GPU's ability to handle large data sets efficiently. With a TDP of 225W, the Radeon Pro V520 is a powerful and energy-efficient solution for professional users.
In terms of performance, the Radeon Pro V520 delivers a theoretical performance of 7.373 TFLOPS, making it suitable for heavy-duty computing tasks. Whether you're working on complex 3D models or pushing the limits of visual effects in games, this GPU is up to the challenge.
Overall, the AMD Radeon Pro V520 is a solid choice for professionals who require top-notch graphics performance in a desktop workstation. Its combination of high clock speeds, ample memory, and advanced shading units make it a compelling option for tasks that demand high-end graphics capabilities.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
December 2020
Model Name
Radeon Pro V520
Generation
Radeon Pro
Base Clock
1000MHz
Boost Clock
1600MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
8GB
Memory Type
HBM2
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.
2048bit
Memory Clock
1000MHz
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.
512.0 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.
102.4 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.
230.4 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.
14.75 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.
460.8 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.
7.52
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.
2304
L2 Cache
4MB
TDP
225W
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.
1.3
OpenCL Version
2.2
Benchmarks
FP32 (float)
Score
7.52
TFLOPS
OpenCL
Score
61570
Compared to Other GPU
FP32 (float)
/ TFLOPS
OpenCL