AMD Radeon Pro 5300
About GPU
The AMD Radeon Pro 5300 GPU is a powerful graphics processing unit designed primarily for professional use in desktop systems. With a base clock of 1000MHz and a boost clock of 1650MHz, this GPU offers impressive speed and performance capabilities. The 4GB of GDDR6 memory and a memory clock of 1750MHz ensure that users can handle large and complex data sets with ease and efficiency. Additionally, with 1280 shading units and a 2MB L2 cache, the GPU is able to process and render high-quality images and videos without any lag or slowdown.
One of the standout features of the Radeon Pro 5300 is its energy efficiency, with a TDP of 85W. This means that users can enjoy high-performance graphics processing without worrying about excessive power consumption or heat generation, making it an attractive option for both professional and personal use.
In terms of performance, the Radeon Pro 5300 boasts a theoretical performance of 4.224 TFLOPS, ensuring that it can handle demanding graphical tasks with ease. Whether it's rendering 3D models, editing high-resolution videos, or running complex simulations, this GPU is more than capable of meeting the needs of professionals in various industries.
Overall, the AMD Radeon Pro 5300 GPU is a solid choice for anyone in need of a high-performance graphics solution for their desktop system. Its impressive specs, energy efficiency, and reliable performance make it a valuable asset for professionals working with graphics-intensive applications.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2020
Model Name
Radeon Pro 5300
Generation
Radeon Pro Mac
Base Clock
1000MHz
Boost Clock
1650MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
4GB
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.
52.80 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.
132.0 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.
8.448 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.
264.0 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.
4.14
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.
1280
L2 Cache
2MB
TDP
85W
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
4.14
TFLOPS
Vulkan
Score
34493
OpenCL
Score
38843
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL