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AMD Radeon Vega 6 vs AMD Radeon Vega 8

AMD Radeon Vega 6

AMD Radeon Vega 8

GPU Comparison Result

Below are the results of a comparison of AMD Radeon Vega 6 and AMD Radeon Vega 8 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon Vega 6

Newer Launch Date: April 2021 (April 2021 vs January 2021)

AMD Radeon Vega 8

Higher Boost Clock: 2000MHz (1700MHz vs 2000MHz)
More Shading Units: 512 (384 vs 512)

Basic

AMD

Label Name

AMD

April 2021

Launch Date

January 2021

Integrated

Platform

Integrated

Radeon Vega 6

Model Name

Radeon Vega 8

Cezanne

Generation

Cezanne

300MHz

Base Clock

300MHz

1700MHz

Boost Clock

2000MHz

IGP

Bus Interface

IGP

9,800 million

Transistors

9,800 million

Compute Units

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.

TSMC

Foundry

TSMC

7 nm

Process Size

7 nm

GCN 5.1

Architecture

GCN 5.1

Memory Specifications

System Shared

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

SystemShared

Memory Clock

SystemShared

System Dependent

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

13.60 GPixel/s

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

40.80 GTexel/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

2.611 TFLOPS

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

81.60 GFLOPS

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

1.332 TFLOPS

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.

2.089 TFLOPS

Miscellaneous

384

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

45W

TDP

45W

1.2

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

2.1

OpenCL Version

2.1

4.6

OpenGL

4.6

12 (12_1)

DirectX

12 (12_1)

None

Power Connectors

None

6.4

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.