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AMD Radeon Vega 7

About GPU

The AMD Radeon Vega 7 GPU is an integrated graphics solution that offers impressive performance for its category. With a base clock speed of 300MHz and a boost clock speed of 1900MHz, this GPU is capable of delivering smooth and responsive graphics for a variety of applications, from casual gaming to content creation. One of the standout features of the Radeon Vega 7 is its 448 shading units, which contribute to its strong performance in rendering complex graphics and handling intensive workloads. With a TDP of 45W, it strikes a good balance between power efficiency and performance, making it a suitable choice for laptops and compact desktop systems. Although the Radeon Vega 7 utilizes system shared memory, its theoretical performance of 1.702 TFLOPS ensures that it can handle demanding tasks without sacrificing quality. This makes it a reliable option for users who require a GPU that can handle both gaming and productivity needs without breaking the bank. Overall, the AMD Radeon Vega 7 GPU delivers a compelling combination of performance, efficiency, and affordability. While it may not be as powerful as dedicated graphics cards, it offers a viable solution for users who prioritize portability and value in their computing devices. Whether you're a casual gamer, content creator, or professional user, the Radeon Vega 7 is worth considering for your GPU needs.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

April 2021

Model Name

Radeon Vega 7

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