AMD Radeon Pro 5700
About GPU
The AMD Radeon Pro 5700 is a high-performance GPU designed for desktop use, offering impressive specifications that make it suitable for a wide range of graphics-intensive tasks. With a base clock of 1243MHz and a boost clock of 1350MHz, this GPU delivers fast and responsive performance, allowing users to tackle demanding applications with ease.
The 8GB of GDDR6 memory provides ample capacity for handling large datasets and complex 3D models, while the 1500MHz memory clock ensures smooth and efficient operation during multitasking and memory-heavy tasks. The 2304 shading units enable the GPU to render high-quality graphics with stunning detail and realism, making it an excellent choice for professionals in fields such as design, architecture, and animation.
The AMD Radeon Pro 5700 also boasts a 4MB L2 cache and a TDP of 130W, ensuring efficient power consumption and heat management without compromising on performance. With a theoretical performance of 6.221 TFLOPS, this GPU delivers exceptional speed and responsiveness, making it well-suited for demanding workloads such as video editing, 3D rendering, and gaming.
Overall, the AMD Radeon Pro 5700 is a powerful and versatile GPU that offers impressive performance and reliability for professional and enthusiast users. Whether used for content creation, gaming, or other graphics-intensive tasks, this GPU delivers the speed, power, and capabilities needed to tackle even the most demanding projects.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2020
Model Name
Radeon Pro 5700
Generation
Radeon Pro Mac
Base Clock
1243MHz
Boost Clock
1350MHz
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
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.
384.0 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.
86.40 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.
194.4 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.
12.44 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.
388.8 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.
6.097
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
130W
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
6.097
TFLOPS
Blender
Score
619
Vulkan
Score
54984
OpenCL
Score
64325
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL