AMD Radeon Pro W5500
About GPU
The AMD Radeon Pro W5500 GPU is a powerful graphics card designed for professional use in desktop workstations. With a base clock speed of 1744MHz and a boost clock speed of 1855MHz, this GPU delivers excellent performance for demanding tasks such as 3D rendering, video editing, and computer-aided design.
Equipped with 8GB of GDDR6 memory running at 1750MHz, the Radeon Pro W5500 provides ample memory bandwidth for handling large datasets and complex visualizations. The 1408 shading units ensure smooth and efficient rendering, while the 2MB of L2 cache helps reduce memory access latency for improved overall performance.
With a TDP of 125W, the Radeon Pro W5500 strikes a good balance between performance and power efficiency. This makes it suitable for a wide range of workstation PCs without requiring excessive cooling or power supply capacity.
The theoretical performance of 5.224 TFLOPS further underscores the GPU's capabilities, allowing professionals to tackle complex workloads with ease. Whether working with high-resolution graphics, virtual reality content, or compute-intensive simulations, the Radeon Pro W5500 delivers the horsepower needed to get the job done.
In conclusion, the AMD Radeon Pro W5500 GPU is a solid choice for professionals in need of reliable and efficient graphics performance. Its combination of high clock speeds, ample memory, and power efficiency make it a compelling option for demanding workloads.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
February 2020
Model Name
Radeon Pro W5500
Generation
Radeon Pro
Base Clock
1744MHz
Boost Clock
1855MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
8GB
Memory Type
GDDR6
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
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.
59.36 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.
163.2 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.
10.45 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.
326.5 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.
5.328
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.
1408
L2 Cache
2MB
TDP
125W
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
Benchmarks
FP32 (float)
Score
5.328
TFLOPS
Blender
Score
512
Vulkan
Score
40401
OpenCL
Score
45244
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL