AMD Radeon Pro 570X
The AMD Radeon Pro 570X GPU is a solid mid-range graphics card designed for mobile platforms. With a base clock of 1000MHz and a boost clock of 1105MHz, it offers decent performance for its intended use. The 4GB of GDDR5 memory and a memory clock of 1700MHz provide ample capacity and speed for handling a variety of tasks, including gaming and content creation.
The 1792 shading units and 2MB L2 cache contribute to the GPU's ability to handle complex graphics rendering and data-intensive workloads. The TDP of 150W may be on the higher side for some laptops, but it ensures that the GPU can deliver the performance it promises without throttling or overheating.
In terms of real-world performance, the AMD Radeon Pro 570X GPU is capable of handling modern games at medium to high settings, as well as demanding creative applications such as video editing and 3D rendering. Its theoretical performance of 3.96 TFLOPS indicates that it can tackle most tasks with ease, although it may struggle with extremely demanding workloads.
Overall, the AMD Radeon Pro 570X GPU is a reliable choice for users who need a balance of performance and power efficiency in a mobile graphics solution. It offers a good mix of features, and its performance is competitive in its price range. Whether you're a gamer or a content creator, this GPU is worth considering for your next laptop.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
March 2019
Model Name
Radeon Pro 570X
Generation
Radeon Pro Mac
Base Clock
1000MHz
Boost Clock
1105MHz
Bus Interface
PCIe 3.0 x16
Transistors
5,700 million
Compute Units
28
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.
112
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.
35.36 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.
123.8 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.
3.960 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.
247.5 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.
4.039
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.
1792
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
4.039
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS