AMD Radeon Pro WX 5100
About GPU
The AMD Radeon Pro WX 5100 GPU is a reliable and powerful graphics card designed for professional workloads on a desktop platform. With a base clock speed of 713MHz and a boost clock speed of 1086MHz, this GPU offers consistent and fast performance for a variety of tasks.
One of the standout features of the Radeon Pro WX 5100 is its 8GB of GDDR5 memory, which enables smooth and efficient rendering of complex models and large datasets. The 1250MHz memory clock further enhances the card's ability to handle demanding workloads, making it suitable for graphic design, video editing, and 3D rendering.
The GPU's 1792 shading units and 2MB of L2 cache contribute to its impressive performance, allowing for efficient parallel processing and improved multitasking capabilities. Additionally, with a TDP of 75W, the Radeon Pro WX 5100 strikes a good balance between power efficiency and performance, making it an ideal choice for professionals who require high computing power without excessive energy consumption.
Overall, the AMD Radeon Pro WX 5100 GPU delivers a theoretical performance of 3.892 TFLOPS, ensuring reliable and consistent performance for professional applications. Whether you are working on complex visualizations or tackling data-intensive tasks, this graphics card offers the power and efficiency needed to handle demanding workloads with ease. Highly recommended for professionals in need of a reliable and efficient GPU for their desktop workstations.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
November 2016
Model Name
Radeon Pro WX 5100
Generation
Radeon Pro
Base Clock
713MHz
Boost Clock
1086MHz
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
1250MHz
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.
160.0 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.
34.75 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.
121.6 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.
3.892 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.
243.3 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.
3.814
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.
1792
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
75W
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
3.814
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS