AMD Radeon Pro WX 3200
About GPU
The AMD Radeon Pro WX 3200 is a solid entry-level GPU that is specifically designed for professional workloads, such as 3D modeling, CAD, and content creation. With 4GB of GDDR5 memory and a memory clock of 1500MHz, it offers decent memory size and speed for handling complex visuals and large datasets.
With 640 shading units and a theoretical performance of 1.658 TFLOPS, the WX 3200 is capable of delivering smooth and responsive graphics for professional applications. Its 65W TDP also makes it a power-efficient option for desktop workstations, ensuring that it can operate efficiently without consuming too much power or generating excessive heat.
The inclusion of 512KB of L2 cache further enhances its performance by reducing data access times and improving overall processing speeds. This is particularly beneficial for tasks that require frequent data retrieval and manipulation.
Overall, the AMD Radeon Pro WX 3200 provides a reliable and cost-effective solution for professionals who require a GPU that can handle demanding workloads without breaking the bank. While it may not offer the same level of performance as higher-end models, it still delivers solid performance for its intended use cases. Ultimately, it is a suitable option for professionals working in design, engineering, and content creation who are looking for a budget-friendly GPU that can meet their needs.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
July 2019
Model Name
Radeon Pro WX 3200
Generation
Radeon Pro
Bus Interface
PCIe 3.0 x8
Memory Specifications
Memory Size
4GB
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.
128bit
Memory Clock
1500MHz
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.
96.00 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.
20.72 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.
41.44 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.
1.658 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.
103.6 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.
1.625
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.
640
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
65W
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
1.625
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS