AMD Radeon RX Vega 11
About GPU
The AMD Radeon RX Vega 11 GPU is an integrated graphics solution designed for use in desktop and mobile systems. With a base clock speed of 300MHz and a boost clock speed of 1400MHz, this GPU offers solid performance for a variety of tasks, including gaming and content creation.
One of the standout features of the RX Vega 11 is its 704 shading units, which contribute to its impressive theoretical performance of 1.971 TFLOPS. This level of performance makes it suitable for running modern games at reasonable settings and handling demanding creative applications like video editing and 3D rendering.
The GPU's TDP of 15W makes it a power-efficient option, particularly for laptops and small form factor PCs where power consumption is a concern. Additionally, its use of system-shared memory allows it to scale its memory consumption based on system resources, ensuring efficient use of available memory and reducing potential bottlenecks.
In terms of actual performance, the RX Vega 11 is able to handle games at 720p and 1080p resolutions with reasonable frame rates, particularly for less demanding titles. It also excels at handling multimedia tasks and offers smooth playback of high-definition video content.
Overall, the AMD Radeon RX Vega 11 GPU offers a compelling combination of performance and efficiency for integrated graphics, making it a solid choice for budget-conscious users looking for a versatile solution for their computing needs.
Basic
Label Name
AMD
Platform
Integrated
Launch Date
July 2019
Model Name
Radeon RX Vega 11
Generation
Picasso
Base Clock
300MHz
Boost Clock
1400MHz
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.
11.20 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.
61.60 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.
3.942 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.
123.2 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.
2.01
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.
704
TDP
15W
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
Benchmarks
FP32 (float)
Score
2.01
TFLOPS
Blender
Score
90
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender