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AMD Radeon Vega 7 Mobile

About GPU

The AMD Radeon Vega 7 Mobile GPU is an integrated graphics solution that offers impressive performance for a wide range of computing tasks. With a base clock of 300MHz and a boost clock of 1900MHz, this GPU delivers fast and responsive performance, making it suitable for both casual and professional users. One of the standout features of the Radeon Vega 7 Mobile GPU is its 448 shading units, which allow for efficient rendering of complex graphics and visual effects. This, combined with a TDP of 45W, ensures that users can enjoy smooth and immersive gaming experiences, as well as seamless video editing and content creation. In terms of memory, the Radeon Vega 7 Mobile GPU relies on system shared memory, which means it can dynamically allocate memory as needed to ensure optimal performance. This makes it a versatile option for a variety of tasks, as it can adapt to different memory requirements on the fly. The theoretical performance of the Radeon Vega 7 Mobile GPU is an impressive 1.702 TFLOPS, and it achieves a score of 1052 in 3DMark Time Spy. These figures demonstrate the GPU's ability to handle demanding graphics workloads, making it a compelling choice for users who require high-performance graphics capabilities. Overall, the AMD Radeon Vega 7 Mobile GPU is a solid choice for anyone in need of a reliable and powerful integrated graphics solution. Its robust performance, efficient memory management, and impressive benchmark scores make it a standout option in the mobile GPU market.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

April 2021

Model Name

Radeon Vega 7 Mobile

Generation

Cezanne

Base Clock

300MHz

Boost Clock

1900MHz

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.

15.20 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.

53.20 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.

3.405 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.

106.4 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.

1.736 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.

448

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