AMD Radeon Pro WX 8100
About GPU
The AMD Radeon Pro WX 8100 is a powerful GPU designed for professional use in desktop workstations. With a base clock of 1200MHz and a boost clock of 1500MHz, this GPU provides fast and smooth performance for demanding tasks such as 3D rendering, video editing, and CAD design.
One of the standout features of the Radeon Pro WX 8100 is its 8GB of HBM2 memory, which provides high bandwidth and efficient performance for large datasets and complex calculations. The memory clock speed of 1000MHz further enhances the GPU's ability to handle intensive workloads with ease.
The 3584 shading units and 4MB of L2 cache contribute to the GPU's impressive performance, allowing it to handle complex graphics and calculations with precision and speed. With a TDP of 230W, the Radeon Pro WX 8100 is a power-efficient option for professional workstations.
The theoretical performance of 10.75 TFLOPS demonstrates the GPU's capability to handle demanding tasks with ease, making it a reliable choice for professionals in industries such as engineering, architecture, and content creation.
Overall, the AMD Radeon Pro WX 8100 is a top-tier GPU that offers exceptional performance, reliability, and efficiency for professional desktop workstations. Whether you're working on complex 3D models, rendering high-resolution videos, or performing intricate simulations, this GPU delivers the power and capability needed to tackle the most demanding tasks.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
December 2017
Model Name
Radeon Pro WX 8100
Generation
Radeon Pro
Base Clock
1200MHz
Boost Clock
1500MHz
Bus Interface
PCIe 3.0 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.
96.00 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.
336.0 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.
21.50 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.
672.0 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.
10.535
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.
3584
L1 Cache
16 KB (per CU)
L2 Cache
4MB
TDP
230W
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
10.535
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS