AMD Radeon Pro 575X
About GPU
The AMD Radeon Pro 575X GPU is a solid performer in the mobile GPU category. With 4GB of GDDR5 memory, a memory clock of 1700MHz, and 2048 shading units, this GPU is a great option for professionals and enthusiasts who need a reliable graphics solution for their creative work or gaming needs.
The 4GB of memory allows for smooth and responsive performance, while the GDDR5 memory type ensures fast data transfer speeds. The 1700MHz memory clock further enhances the GPU's ability to handle complex tasks and high-resolution graphics with ease. Additionally, the 2048 shading units provide ample processing power for demanding workloads, resulting in smooth and lifelike visuals.
With 2MB of L2 cache and a TDP of 150W, the Radeon Pro 575X strikes a good balance between power efficiency and performance. This allows for long periods of use without sacrificing graphical capabilities, making it a great choice for those who need a reliable and efficient GPU.
The theoretical performance of 4.489 TFLOPS further reinforces the GPU's ability to handle demanding tasks. Whether it's rendering 3D graphics, editing high-resolution videos, or playing the latest games, the Radeon Pro 575X is up to the task.
Overall, the AMD Radeon Pro 575X GPU offers a great combination of performance, efficiency, and reliability, making it a solid choice for professionals and enthusiasts alike. Its robust specs and strong performance make it a standout option in the mobile GPU market.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
March 2019
Model Name
Radeon Pro 575X
Generation
Radeon Pro Mac
Bus Interface
PCIe 3.0 x16
Transistors
5,700 million
Compute Units
32
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
128
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 4.0
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.
256bit
Memory Clock
1700MHz
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.
217.6 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.
35.07 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.
140.3 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.
4.489 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.
280.6 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.
4.579
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.
2048
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
150W
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
OpenGL
4.6
DirectX
12 (12_0)
Power Connectors
None
Shader Model
6.4
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
32
Benchmarks
FP32 (float)
Score
4.579
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS