AMD Radeon Pro 555
About GPU
The AMD Radeon Pro 555 GPU is a mobile graphics processing unit that is equipped with 2GB of GDDR5 memory. With a memory clock speed of 1275MHz and 768 shading units, this GPU is capable of delivering impressive performance for a wide range of tasks.
The 2GB memory size ensures that the GPU can handle complex graphical tasks with ease, making it a suitable choice for professionals who work with graphic-intensive applications such as video editing, 3D rendering, and gaming. The GDDR5 memory type also contributes to the GPU's overall performance, providing high-speed data transfer for smoother and more responsive graphics.
The AMD Radeon Pro 555 GPU is also power-efficient, with a thermal design power (TDP) of 75W. This means that it can deliver high performance without consuming excessive power, making it a suitable choice for mobile workstations and laptops.
With a theoretical performance of 1.306 TFLOPS, this GPU is capable of handling demanding graphical tasks with ease. Whether you're a professional designer, a content creator, or a gamer, the AMD Radeon Pro 555 GPU delivers the performance and reliability you need to bring your ideas to life.
Overall, the AMD Radeon Pro 555 GPU is a powerful and efficient graphics processing unit that is well-suited for a variety of professional and personal use cases. Its impressive memory size, high memory clock speed, and power-efficient design make it a compelling choice for anyone in need of reliable and high-performance graphics processing.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
June 2017
Model Name
Radeon Pro 555
Generation
Radeon Pro Mac
Bus Interface
PCIe 3.0 x8
Memory Specifications
Memory Size
2GB
Memory Type
GDDR5
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
1275MHz
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.
81.60 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.
13.60 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.
40.80 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.
1306 GFLOPS
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.
81.60 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.
1.332
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.
768
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
75W
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.
1.2
OpenCL Version
2.1
Benchmarks
FP32 (float)
Score
1.332
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS