AMD Radeon Pro W5700X
About GPU
The AMD Radeon Pro W5700X is a high-performance professional-grade GPU designed for desktop workstations. With a base clock speed of 1243MHz and a boost clock speed of 2040MHz, this GPU offers impressive performance for demanding graphics and compute workloads.
One of the standout features of the Radeon Pro W5700X is its massive 16GB of GDDR6 memory. This large memory capacity allows for smooth and seamless handling of large datasets and complex 3D models. Additionally, with a memory clock speed of 1750MHz and 2560 shading units, the W5700X delivers exceptional graphics rendering and visualization capabilities.
The W5700X is also equipped with 4MB of L2 cache and has a total power draw (TDP) of 205W, making it a relatively power-efficient option for professional workstation setups. The GPU boasts a theoretical performance of 10.44 TFLOPS, which ensures fluid performance when handling demanding workflows such as video editing, 3D rendering, and CAD design.
Overall, the AMD Radeon Pro W5700X is a top-of-the-line GPU that is capable of handling the most demanding professional workloads with ease. Its high memory capacity, impressive clock speeds, and efficient power consumption make it a great choice for professionals working in fields such as content creation, engineering, and scientific research. Whether you're tackling complex simulations or creating visually stunning content, the W5700X is a reliable and powerful GPU option for professionals.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
December 2019
Model Name
Radeon Pro W5700X
Generation
Radeon Pro Mac
Base Clock
1243MHz
Boost Clock
2040MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
16GB
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.
256bit
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.
448.0 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.
130.6 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.
326.4 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.
20.89 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.
652.8 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.
10.649
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.
2560
L2 Cache
4MB
TDP
205W
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
10.649
TFLOPS
Blender
Score
889
Vulkan
Score
64049
OpenCL
Score
79060
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL