AMD Radeon Pro 5600M
About GPU
The AMD Radeon Pro 5600M GPU is a powerful mobile graphics card designed for professional use, offering impressive performance and functionality. With a base clock of 1000MHz and a boost clock of 1035MHz, this GPU delivers smooth and responsive performance, making it well-suited for demanding tasks such as video editing, 3D rendering, and graphic design.
Equipped with 8GB of HBM2 memory and a memory clock of 770MHz, the Radeon Pro 5600M ensures fast and efficient data access, enabling seamless multitasking and handling of large, high-resolution files. Its 2560 shading units and 4MB of L2 cache further contribute to its exceptional graphics processing capabilities, allowing for detailed and realistic visual output.
Despite its impressive performance, the Radeon Pro 5600M also manages to maintain a relatively low TDP of 50W, making it suitable for use in thin and light laptops without sacrificing on performance. Additionally, with a theoretical performance of 5.299 TFLOPS, this GPU is more than capable of handling demanding workloads and delivering stunning visuals.
Overall, the AMD Radeon Pro 5600M GPU is a highly capable and efficient graphics card that offers exceptional performance for professional users on the go. Whether you're a content creator, designer, or engineer, this GPU provides the power and reliability needed to tackle demanding tasks with ease.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
June 2020
Model Name
Radeon Pro 5600M
Generation
Radeon Pro Mac
Base Clock
1000MHz
Boost Clock
1035MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
8GB
Memory Type
HBM2
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.
2048bit
Memory Clock
770MHz
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.
394.2 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.
66.24 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.
165.6 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.
10.60 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.
331.2 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.
5.193
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
50W
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
2.2
Benchmarks
FP32 (float)
Score
5.193
TFLOPS
Blender
Score
101
Vulkan
Score
46669
OpenCL
Score
48324
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL