AMD Radeon RX Vega 10 Mobile
The AMD Radeon RX Vega 10 Mobile GPU is a powerful integrated graphics solution that delivers impressive performance for both casual and moderate gamers, as well as content creators. With a base clock of 300MHz and a boost clock of 1301MHz, this GPU offers smooth and consistent performance for a wide range of tasks.
One of the standout features of the Radeon RX Vega 10 Mobile GPU is its 640 shading units, which allow for excellent rendering and visual quality. The system shared memory size and type, along with the shared memory clock, ensure that the GPU can handle demanding workloads and deliver exceptional graphics performance.
With a TDP of 10W, the Radeon RX Vega 10 Mobile GPU is energy efficient, making it suitable for use in thin and light laptops without sacrificing on performance. Its theoretical performance of 1.665 TFLOPS further emphasizes its ability to handle demanding tasks with ease.
Overall, the AMD Radeon RX Vega 10 Mobile GPU is a solid choice for those in need of a capable integrated graphics solution. Whether you're a casual gamer, content creator, or simply looking for enhanced graphics performance for everyday tasks, this GPU delivers on both performance and efficiency. Its impressive specifications and reliable performance make it a worthwhile option for those in the market for a versatile and powerful integrated graphics solution.
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Basic
Label Name
AMD
Platform
Integrated
Launch Date
October 2017
Model Name
Radeon RX Vega 10 Mobile
Generation
Raven Ridge
Base Clock
300MHz
Boost Clock
1301MHz
Bus Interface
IGP
Transistors
4,940 million
Compute Units
10
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.
40
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 5.0
Memory Specifications
Memory Size
System Shared
Memory Type
System Shared
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.
System Shared
Memory Clock
SystemShared
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.
System Dependent
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.
10.41 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.
52.04 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.
3.331 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.
104.1 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.
1.698
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.
640
TDP
10W
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_1)
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.
8
Benchmarks
FP32 (float)
Score
1.698
TFLOPS
Blender
Score
86
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender