AMD Radeon Pro WX 3100
The AMD Radeon Pro WX 3100 is a solid entry-level GPU for professional workloads, offering a good balance of performance and power efficiency. With a base clock of 925MHz and a boost clock of 1219MHz, this GPU delivers consistent and reliable performance for a variety of professional applications.
The 4GB of GDDR5 memory with a clock speed of 1500MHz allows for smooth and responsive handling of large datasets and complex visualizations, making it suitable for tasks such as 3D modeling, CAD design, and video editing. The 512 shading units and 512KB L2 cache further contribute to the GPU's processing capabilities, ensuring efficient rendering and computational performance.
With a TDP of 65W, the Radeon Pro WX 3100 is notably power-efficient, making it a suitable choice for systems where power consumption and thermal management are a concern. This makes it a viable option for small form factor workstations or systems with limited cooling capacity.
The theoretical performance of 1.248 TFLOPS indicates that the Radeon Pro WX 3100 is capable of handling demanding workloads with ease, providing reliable performance for professional users.
Overall, the AMD Radeon Pro WX 3100 offers a compelling combination of performance, power efficiency, and affordability, making it a suitable choice for professionals seeking a budget-friendly GPU for their professional workflows. Whether it's for content creation, engineering, or scientific computing, the Radeon Pro WX 3100 is a capable GPU that can handle a wide range of professional applications.
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Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2017
Model Name
Radeon Pro WX 3100
Generation
Radeon Pro Polaris
Base Clock
925MHz
Boost Clock
1219MHz
Bus Interface
PCIe 3.0 x8
Transistors
2,200 million
Compute Units
8
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
32
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 4.0
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.
19.50 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.
39.01 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.
1248 GFLOPS
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.
78.02 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.
1.223
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.
512
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.
1.3
OpenCL Version
2.1
OpenGL
4.6
DirectX
12 (12_0)
Power Connectors
None
Shader Model
6.7
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
16
Suggested PSU
250W
Benchmarks
FP32 (float)
Score
1.223
TFLOPS
Vulkan
Score
11767
OpenCL
Score
9984
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL