AMD Radeon Pro 580X
The AMD Radeon Pro 580X is a powerful and efficient GPU designed for mobile platforms, offering high performance and reliable graphics processing. With a base clock speed of 1100MHz and a boost clock speed of 1200MHz, this GPU is capable of delivering smooth and responsive performance for a variety of tasks, including gaming, content creation, and professional applications.
The 8GB of GDDR5 memory and a memory clock speed of 1710MHz provide ample capacity and speed for handling large and complex datasets, textures, and graphical elements. With 2304 shading units and 2MB of L2 cache, the Radeon Pro 580X is capable of handling demanding workloads and rendering tasks with ease.
In terms of power efficiency, the Radeon Pro 580X has a TDP of 185W, making it a relatively power-efficient option for mobile systems while still delivering impressive performance. The theoretical performance of 5.53 TFLOPS ensures that this GPU can handle even the most demanding graphics tasks, providing a smooth and seamless user experience.
Overall, the AMD Radeon Pro 580X is a solid choice for users in need of reliable and high-performance graphics processing for their mobile systems. Whether for gaming, content creation, or professional applications, this GPU delivers the speed, capacity, and efficiency needed to handle a wide range of tasks with ease.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
March 2019
Model Name
Radeon Pro 580X
Generation
Radeon Pro Mac
Base Clock
1100MHz
Boost Clock
1200MHz
Bus Interface
PCIe 3.0 x16
Transistors
5,700 million
Compute Units
36
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.
144
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 4.0
Memory Specifications
Memory Size
8GB
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
1710MHz
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.
218.9 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.
38.40 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.
172.8 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.
5.530 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.
345.6 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.
5.419
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.
2304
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
185W
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
5.419
TFLOPS
Blender
Score
348
Vulkan
Score
44469
OpenCL
Score
40821
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL