AMD Radeon Pro WX 4130 Mobile
About GPU
The AMD Radeon Pro WX 4130 Mobile GPU is a powerful graphics card designed for mobile workstations, offering impressive performance and reliability. With a base clock of 1002MHz and a boost clock of 1053MHz, this GPU is capable of handling demanding tasks with ease. The 4GB GDDR5 memory ensures smooth and responsive performance, even when working with large files or running complex simulations.
With 640 shading units and a 1024KB L2 cache, the Radeon Pro WX 4130 delivers excellent graphics processing power, making it well-suited for a wide range of professional applications, including 3D rendering, video editing, and design work. The 1500MHz memory clock further enhances performance, ensuring fast and efficient data access.
The GPU's 50W TDP is relatively low for a mobile workstation GPU, making it an energy-efficient choice for on-the-go professionals. Despite its power efficiency, the Radeon Pro WX 4130 still offers impressive theoretical performance, with a rating of 1.348 TFLOPS.
In addition to its hardware capabilities, the Radeon Pro WX 4130 is backed by AMD's reliable drivers and software support, ensuring compatibility with a wide range of professional applications and workflows. Overall, the AMD Radeon Pro WX 4130 Mobile GPU is a solid choice for professionals who require high-performance graphics for their mobile workstations.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
March 2017
Model Name
Radeon Pro WX 4130 Mobile
Generation
Radeon Pro Mobile
Base Clock
1002MHz
Boost Clock
1053MHz
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.
16.85 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.
42.12 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.
1348 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.
84.24 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.
1.375
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
1024KB
TDP
50W
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
1.375
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS