AMD Radeon Pro WX 9100
About GPU
The AMD Radeon Pro WX 9100 is a powerhouse GPU designed for professional workloads, such as content creation, engineering, and scientific simulations. With its impressive specs, it offers incredible performance and reliability for demanding tasks.
The 16GB of HBM2 memory, with a memory clock of 945MHz, allows for fast data transfers and smooth rendering, even when working with large, complex models or datasets. The 4096 shading units and 12.29 TFLOPS theoretical performance ensure that graphics and computations are handled efficiently and without lag.
The GPU's base clock of 1200MHz and boost clock of 1500MHz provide a solid foundation for consistent performance, while the 4MB L2 cache helps to minimize latency and keep data flowing smoothly. Additionally, the TDP of 230W indicates a balance between power efficiency and high performance, making it suitable for a range of desktop systems.
One of the standout features of the Radeon Pro WX 9100 is its support for professional applications and workflows, including certifications for leading software platforms. This makes it an excellent choice for professionals in industries such as media and entertainment, architecture, engineering, and healthcare.
Overall, the AMD Radeon Pro WX 9100 GPU offers exceptional performance, reliability, and compatibility for professional workloads, making it a strong contender for those in need of a high-end graphics solution. While it may come with a premium price tag, the features and capabilities it brings to the table make it well worth the investment for the right user.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
July 2017
Model Name
Radeon Pro WX 9100
Generation
Radeon Pro
Base Clock
1200MHz
Boost Clock
1500MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
16GB
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
945MHz
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.
483.8 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.
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.
384.0 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.
24.58 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.
768.0 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.
12.536
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.
4096
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
12.536
TFLOPS
Blender
Score
640
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender