AMD Radeon Pro 5500 XT

AMD Radeon Pro 5500 XT

About GPU

The AMD Radeon Pro 5500 XT GPU is a powerful and efficient graphics processing unit designed for desktop computers. With a base clock speed of 1187MHz and a boost clock speed of 1757MHz, this GPU delivers smooth and responsive performance for a wide range of tasks, from gaming to content creation. The 8GB of GDDR6 memory and a memory clock speed of 1750MHz ensure fast and reliable access to graphics data, allowing for seamless multitasking and high-resolution rendering. With 1536 shading units and 2MB of L2 cache, the Radeon Pro 5500 XT is capable of handling complex graphical workloads with ease. Its 125W TDP ensures that it operates efficiently without consuming excessive power, making it a suitable choice for both casual and professional users. The theoretical performance of 5.398 TFLOPS further demonstrates the GPU's ability to handle demanding graphics tasks, such as 3D modeling, video editing, and gaming at high resolutions. Additionally, the Radeon Pro 5500 XT is optimized for various professional applications, including CAD software and video editing suites, making it a versatile option for creative professionals. Overall, the AMD Radeon Pro 5500 XT GPU offers solid performance, efficient power usage, and compatibility with a wide range of software, making it a compelling choice for desktop users looking for a reliable graphics solution.

Basic

Label Name
AMD
Platform
Desktop
Launch Date
August 2020
Model Name
Radeon Pro 5500 XT
Generation
Radeon Pro Mac
Base Clock
1187MHz
Boost Clock
1757MHz
Bus Interface
PCIe 4.0 x8

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.
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.
56.22 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.
168.7 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.
10.80 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.
337.3 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.
5.506 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.
1536
L2 Cache
2MB
TDP
125W
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
5.506 TFLOPS
Blender
Score
82
Vulkan
Score
39646
OpenCL
Score
42238

Compared to Other GPU

FP32 (float) / TFLOPS
5.519 +0.2%
5.519 +0.2%
Vulkan
40716 +2.7%
40401 +1.9%
38993 -1.6%
38904 -1.9%
OpenCL
42810 +1.4%
42289 +0.1%
40953 -3%
40821 -3.4%