AMD Radeon Pro WX 7100
About GPU
The AMD Radeon Pro WX 7100 is a powerful and reliable GPU specifically designed for professional workloads such as CAD/CAM design, 3D modeling, and content creation. With a base clock of 1188MHz and a boost clock of 1243MHz, this GPU offers fast and consistent performance, allowing users to efficiently work with large and complex projects.
Equipped with 8GB of GDDR5 memory running at 1750MHz, the Radeon Pro WX 7100 delivers high bandwidth and low latency, resulting in smooth and responsive graphics rendering. The 2304 shading units and 2MB of L2 cache further contribute to its impressive processing capabilities, making it suitable for handling demanding tasks with ease.
One of the standout features of the Radeon Pro WX 7100 is its 5.728 TFLOPS theoretical performance, which ensures excellent speed and efficiency when executing compute-intensive workflows. Additionally, with a TDP of 130W, the GPU strikes a good balance between performance and power consumption, making it a cost-effective solution for professionals seeking high-end graphics performance.
Overall, the AMD Radeon Pro WX 7100 is a top-notch GPU that offers exceptional performance, reliability, and efficiency for professional applications. Whether you're working on intricate design projects or creating visually stunning content, this GPU is more than capable of meeting the demands of modern creative workflows.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
November 2016
Model Name
Radeon Pro WX 7100
Generation
Radeon Pro
Base Clock
1188MHz
Boost Clock
1243MHz
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
1750MHz
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.
224.0 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.
39.78 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.
179.0 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.
5.728 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.
358.0 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.
5.843
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
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
130W
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
5.843
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS