Radeon Vega 8 Mobile
AMD Radeon Vega 8 Mobile vs AMD Radeon Vega 6 Mobile
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the AMD Radeon Vega 8 Mobile and AMD Radeon Vega 6 Mobile video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
AMD
AMD
Launch Date
January 2021
April 2021
Platform
Integrated
Integrated
Model Name
Radeon Vega 8 Mobile
Radeon Vega 6 Mobile
Generation
Cezanne
Cezanne
Base Clock
300MHz
300MHz
Boost Clock
2000MHz
1600MHz
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.
512
384
Transistors
9,800 million
9,800 million
Compute Units
8
6
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.
32
24
Bus Interface
IGP
IGP
Foundry
TSMC
TSMC
Process Size
7 nm
7 nm
Architecture
GCN 5.1
GCN 5.1
TDP
45W
45W
Memory Specifications
Memory Size
System Shared
System Shared
Memory Type
System Shared
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
System Shared
Memory Clock
SystemShared
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
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.
16.00 GPixel/s
12.80 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.
64.00 GTexel/s
38.40 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.
4.096 TFLOPS
2.458 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.
128.0 GFLOPS
76.80 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.
2.007
TFlops
1.28
TFlops
Miscellaneous
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
1.2
OpenCL Version
2.1
2.1
OpenGL
4.6
4.6
DirectX
12 (12_1)
12 (12_1)
Power Connectors
None
None
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
8
Shader Model
6.4
6.4
Advantages
Radeon Vega 8 Mobile
- Higher Boost Clock: 2000MHz (2000MHz vs 1600MHz)
- More Shading Units: 512 (512 vs 384)
Radeon Vega 6 Mobile
- Newer Launch Date: April 2021 (January 2021 vs April 2021)
FP32 (float)
Radeon Vega 8 Mobile
+57%
2.007
TFlops
Radeon Vega 6 Mobile
1.28
TFlops
3DMark Time Spy
Radeon Vega 8 Mobile
+47%
1426
Radeon Vega 6 Mobile
968
SiliconCat Rating
791
Ranks 791 among all GPU on our website
943
Ranks 943 among all GPU on our website
Radeon Vega 6 Mobile
