AMD Radeon Pro WX 4170 Mobile
About GPU
The AMD Radeon Pro WX 4170 Mobile GPU is a powerful and efficient graphics solution designed for mobile workstations. With a base clock speed of 1002MHz and a boost clock of 1201MHz, this GPU offers fast and responsive performance for professional applications such as 3D rendering, video editing, and CAD software.
The 4GB of GDDR5 memory and a memory clock of 1500MHz provide ample resources for handling large datasets and complex visual tasks, while the 1024 shading units and 1024KB L2 cache contribute to high-quality, detailed graphics. With a TDP of 50W, the Radeon Pro WX 4170 strikes a good balance between performance and power efficiency, making it suitable for use in thin and light mobile workstations.
The theoretical performance of 2.46 TFLOPS ensures smooth and reliable operation when working with demanding applications, allowing professionals to focus on their work without being hindered by graphics-related bottlenecks. Whether you're a visual effects artist, architect, or engineer, the Radeon Pro WX 4170 Mobile GPU delivers the performance and reliability needed to bring your creative visions to life.
In conclusion, the AMD Radeon Pro WX 4170 Mobile GPU is a solid choice for professionals who require a powerful, yet power-efficient graphics solution for their mobile workstations. With its impressive specifications and reliable performance, it is well-suited for a wide range of professional applications.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
March 2017
Model Name
Radeon Pro WX 4170 Mobile
Generation
Radeon Pro Mobile
Base Clock
1002MHz
Boost Clock
1201MHz
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.
19.22 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.
76.86 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.
2.460 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.
153.7 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.
2.411
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.
1024
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
2.411
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS