AMD Radeon Pro W5700
About GPU
The AMD Radeon Pro W5700 is a powerful workstation GPU designed for professionals who require high performance and reliability for their demanding workloads. With 8GB of GDDR6 memory, a base clock of 1400MHz, and a boost clock of 1880MHz, this GPU is capable of handling complex 3D rendering, video editing, and other graphic-intensive tasks with ease.
The 2304 shading units and 4MB L2 cache ensure smooth and efficient processing of graphics, while the 205W TDP provides the necessary power for sustained high-performance operation. Additionally, the 8.663 TFLOPS theoretical performance further demonstrates the GPU's capability to handle intensive workloads.
In terms of connectivity, the AMD Radeon Pro W5700 features multiple display outputs, including four DisplayPort 1.4 connections, enabling users to connect multiple high-resolution displays for multitasking and content creation.
Furthermore, the GPU is designed to meet the needs of professional users, offering certification and support for various professional applications, ensuring compatibility and reliability when using industry-standard software.
Overall, the AMD Radeon Pro W5700 is a high-performance workstation GPU that is well-suited for professionals in industries such as 3D design, animation, video editing, and more. Its impressive specifications, connectivity options, and professional certifications make it a compelling choice for those in need of a reliable and powerful GPU for their creative and professional work.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
November 2019
Model Name
Radeon Pro W5700
Generation
Radeon Pro
Base Clock
1400MHz
Boost Clock
1880MHz
Bus Interface
PCIe 4.0 x16
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.
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.
120.3 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.
270.7 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.
17.33 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.
541.4 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.
8.49
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.
2304
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
8.49
TFLOPS
Blender
Score
821
Vulkan
Score
62536
OpenCL
Score
69319
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL