AMD Radeon Pro 555X
About GPU
The AMD Radeon Pro 555X GPU is a solid mid-range mobile graphics card designed for professional use. With 4GB of GDDR5 memory and a memory clock speed of 1470MHz, this GPU is capable of handling demanding tasks such as video editing, 3D rendering, and graphic design. The 768 shading units provide ample processing power, while the 1024KB L2 cache helps to improve overall performance.
In terms of power consumption, the Radeon Pro 555X has a TDP of 75W, which is relatively efficient for a mobile GPU. This means that it can deliver strong performance without draining the battery life of your laptop too quickly. The theoretical performance of 1.393 TFLOPS ensures that this GPU can handle heavy workloads with ease, making it a reliable option for professionals who rely on their graphics card for their day-to-day tasks.
While the Radeon Pro 555X may not be the most powerful GPU on the market, it offers a good balance of performance, power efficiency, and affordability. It is well-suited for professionals who need a reliable graphics card for work, as well as for casual gamers who want to enjoy high-quality gaming experiences on their laptops. Overall, the AMD Radeon Pro 555X GPU is a capable and versatile option that delivers solid performance for its price point.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
July 2018
Model Name
Radeon Pro 555X
Generation
Radeon Pro Mac
Bus Interface
PCIe 3.0 x8
Memory Specifications
Memory Size
4GB
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
1470MHz
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.
94.08 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.
14.51 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.
43.54 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.
1393 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.
87.07 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.
1.365
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
1.365
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS