AMD Radeon Vega 11
About GPU
The AMD Radeon Vega 11 GPU is an integrated graphics solution that offers impressive performance for an integrated chip. With a base clock of 300MHz and a boost clock of 1400MHz, this GPU is capable of handling a variety of tasks with ease. While the memory size and type are system shared, the GPU's 704 shading units and 1.971 TFLOPS theoretical performance make it a viable option for light gaming, video editing, and other multimedia tasks.
One of the standout features of the AMD Radeon Vega 11 GPU is its low TDP of 15W, which makes it an excellent choice for compact and energy-efficient systems. The GPU's power efficiency allows it to deliver solid performance without consuming excessive amounts of power, making it a great option for laptops and small form factor PCs.
In terms of performance, the AMD Radeon Vega 11 GPU is capable of running many modern games at low to medium settings, making it a suitable option for casual gamers. Additionally, it performs well in content creation tasks such as video editing and graphic design, making it a versatile choice for a range of users.
Overall, the AMD Radeon Vega 11 GPU offers impressive integrated graphics performance, making it a strong contender for budget-oriented systems and those looking for a balance of performance and power efficiency. While it may not rival dedicated gaming GPUs, it provides solid performance for everyday tasks and light gaming.
Basic
Label Name
AMD
Platform
Integrated
Launch Date
September 2019
Model Name
Radeon 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
84
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender