AMD Radeon Pro 5700 XT

AMD Radeon Pro 5700 XT

About GPU

The AMD Radeon Pro 5700 XT is a high-end desktop GPU that offers impressive performance and a range of features that make it a great choice for professional use and gaming alike. With a base clock speed of 1243MHz and a boost clock speed of 1499MHz, the 5700 XT offers fast and reliable performance for a range of tasks. Its 16GB of GDDR6 memory and a memory clock speed of 1500MHz also ensure that it can handle even the most demanding workloads and games with ease. The 2560 shading units and 4MB of L2 cache further contribute to the GPU's ability to handle complex graphical tasks, making it a great choice for professionals who work with large datasets and high-resolution images. One of the standout features of the Radeon Pro 5700 XT is its power efficiency, with a TDP of just 130W. This means that the GPU can deliver high performance without consuming excessive amounts of power, making it a great choice for users who want to minimize their environmental impact and energy costs. Overall, the AMD Radeon Pro 5700 XT offers excellent performance, power efficiency, and a range of features that make it a great choice for professionals and gamers who are looking for a high-end desktop GPU. Whether you're working with large datasets, creating complex 3D models, or playing the latest games, the 5700 XT has the power and features to handle it all.

Basic

Label Name
AMD
Platform
Desktop
Launch Date
August 2020
Model Name
Radeon Pro 5700 XT
Generation
Radeon Pro Mac
Base Clock
1243MHz
Boost Clock
1499MHz
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
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.
95.94 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.
239.8 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.
15.35 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.
479.7 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.
7.521 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
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
7.521 TFLOPS
Blender
Score
722
Vulkan
Score
49804
OpenCL
Score
59644

Compared to Other GPU

FP32 (float) / TFLOPS
7.858 +4.5%
7.827 +4.1%
7.52 -0%
Vulkan
52494 +5.4%
51831 +4.1%
49482 -0.6%
49235 -1.1%
OpenCL
60909 +2.1%
60223 +1%
59526 -0.2%
57633 -3.4%