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AMD Radeon Vega 6

About GPU

The AMD Radeon Vega 6 GPU is an integrated graphics solution designed for laptops and desktops. With a base clock of 300MHz and a boost clock of 1700MHz, this GPU is capable of delivering smooth and efficient performance for a variety of tasks, including gaming, video editing, and multimedia consumption. One of the standout features of the Radeon Vega 6 is its system shared memory size and type, allowing for seamless integration with the system's RAM and enabling faster data access and transfer speeds. With 384 shading units and a TDP of 45W, this GPU strikes a good balance between performance and power efficiency. In terms of actual performance, the Radeon Vega 6 is capable of delivering a theoretical performance of 1.306 TFLOPS, making it suitable for running modern games and applications at medium to high settings. In the 3DMark Time Spy benchmark, it scored an impressive 805, further demonstrating its capability to handle demanding graphics tasks. Overall, the AMD Radeon Vega 6 GPU is a solid choice for users who are looking for a cost-effective integrated graphics solution that offers good performance for daily computing tasks and casual gaming. Its efficient power usage and system shared memory make it a versatile option for a wide range of users, from students to professionals. Whether you're browsing the web, editing photos, or playing games, the Radeon Vega 6 has the capability to handle it all with ease.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

April 2021

Model Name

Radeon Vega 6

Generation

Cezanne

Base Clock

300MHz

Boost Clock

1700MHz

Bus Interface

IGP

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.

13.60 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.

40.80 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.

2.611 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.

81.60 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.

1.332 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.

384

TDP

45W

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