AMD Radeon RX Vega 11 Embedded

AMD Radeon RX Vega 11 Embedded

AMD Radeon RX Vega 11 Embedded: Compact Graphics for Basic Tasks and Beyond

April 2025


Introduction

In an era where discrete graphics cards are becoming increasingly powerful and complex, integrated solutions continue to occupy their niche. The AMD Radeon RX Vega 11 Embedded is one such example. Even though this graphics solution debuted in the late 2010s, by 2025, it remains relevant for budget PCs, mini-PCs, and low-power systems. In this article, we will explore what makes Vega 11 noteworthy, how it handles modern tasks, and who it is suitable for.


1. Architecture and Key Features

Vega Architecture: Simplicity and Efficiency

The RX Vega 11 Embedded is built on the Vega architecture, released in 2017. Despite its age, it maintains relevance due to optimizations from AMD. The manufacturing process is 14nm, which appears outdated by 2025 standards, but for embedded solutions, this is compensated by low cost and moderate thermal output.

Unique Features

- FidelityFX Super Resolution (FSR): Support for FSR 2.2 (2024 update) enhances gaming performance through upscaling. For example, playing at 720p with FSR can look like 1080p.

- FreeSync: This anti-tearing technology synchronizes the frame rate with the monitor, which is particularly relevant for smooth gameplay.

- Lack of Hardware Ray Tracing: Vega 11 does not support RT cores, meaning ray tracing is implemented via software methods, which drastically reduces FPS.

Conclusion: The Vega 11 architecture offers a balance between sufficient performance for basic tasks and minimal system requirements.


2. Memory: Flexibility Through RAM

Type and Capacity

Vega 11 Embedded does not have dedicated video memory—it utilizes the system's RAM. By 2025, configurations with DDR4-3200 MHz or DDR5-4800 MHz are relevant. A recommended RAM size is 16 GB, of which up to 2 GB can be allocated for video memory through BIOS settings.

Bandwidth

The performance metrics depend on the type of RAM:

- DDR4-3200: Up to 51.2 GB/s.

- DDR5-4800: Up to 76.8 GB/s.

For gaming and graphics work, DDR5 is preferable, but even with DDR4, Vega 11 can handle less demanding projects.


3. Gaming Performance

1080p: Comfortable for Indie Games and Older AAA Titles

- CS:2 (Counter-Strike 2): 60–70 FPS on medium settings (without FSR).

- Fortnite: 45–55 FPS on low settings + FSR Quality.

- The Witcher 3 (Next-Gen Update): 25–30 FPS on low settings.

1440p and 4K: Vega 11 is poorly suited for these resolutions, with exceptions for games like Stardew Valley or Terraria, where the frame rate remains stable.

Ray Tracing: Even with FSR, activating RT drops FPS to 10–15 frames, rendering the feature impractical.

Advice: For 2025 gaming, it is better to choose a discrete graphics card like the RX 6500 XT or GTX 1650.


4. Professional Tasks

Video Editing and 3D Modeling

- DaVinci Resolve: Rendering 1080p video will take 2–3 times longer than on discrete GPUs.

- Blender: Support for OpenCL allows for simple renders, but complex scenes will be processed slowly.

Scientific Calculations

Vega 11 is compatible with OpenCL, making it suitable for basic computations in MATLAB or Python. However, for serious tasks (neural networks, simulations), more powerful solutions are required.


5. Power Consumption and Heat Generation

TDP and Cooling

- TDP of the processor with Vega 11 (e.g., Ryzen 5 5600G): 65 W.

- Power consumption of the GPU itself: approximately 15–25 W.

Recommendations:

- Case: Mini-PCs with passive cooling (e.g., ASUS PN) or compact builds with a cooler of 80–120 mm.

- Thermal Paste: Update every 2–3 years to prevent overheating.


6. Comparison with Competitors

AMD Radeon 780M (integrated in Ryzen 8000G):

- +30% gaming performance, support for AV1, but system cost is higher ($400+).

NVIDIA GeForce MX550:

- Better optimization for creative tasks but requires separate cooling and is more expensive ($150–200).

Intel Iris Xe (12th generation):

- Comparable gaming performance but poorer driver support on Linux.

Conclusion: Vega 11 excels in the budget segment (systems under $300) but falls behind more modern solutions.


7. Practical Tips

Power Supply: A power supply of 300–400 W is sufficient (e.g., be quiet! SFX Power 3).

Compatibility:

- Platform: Only AMD Ryzen G-series processors (AM4/AM5).

- Motherboards: Requires BIOS support for memory allocation for GPU.

Drivers: Regularly update Adrenalin Edition (latest version—Q2 2025) for improved stability.


8. Pros and Cons

Pros:

- Low cost of systems based on Vega 11 ($250–350 for a ready-made PC).

- Energy efficiency.

- Support for modern technologies (FSR 2.2, FreeSync).

Cons:

- Weak performance in new games.

- Dependency on RAM speed.

- No hardware ray tracing.


9. Final Conclusion: Who is Vega 11 Suitable For?

Recommended if:

- You need a compact PC for office, study, or media center.

- Your budget is limited, and gaming is primarily indie projects or classics.

- Priority is a quiet and cool system.

Not recommended if:

- You plan to play Cyberpunk 2077 or Starfield.

- You engage in 3D rendering or editing 4K videos.


Conclusion

The AMD Radeon RX Vega 11 Embedded is an example of a "workhorse" that remains in demand years later. While it may not impress with power, it provides stability and minimalism. In 2025, it is a choice for those who value practicality over pixels.

Basic

Label Name
AMD
Platform
Integrated
Launch Date
April 2018
Model Name
Radeon RX Vega 11 Embedded
Generation
Raven Ridge
Base Clock
300MHz
Boost Clock
1251MHz
Bus Interface
IGP
Transistors
4,940 million
Compute Units
11
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
44
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 5.0

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.
10.01 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.
55.04 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.
3.523 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.
110.1 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.
1.726 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
35W
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
OpenGL
4.6
DirectX
12 (12_1)
Power Connectors
None
Shader Model
6.4
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
8

Benchmarks

FP32 (float)
Score
1.726 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
1.828 +5.9%
1.8 +4.3%
1.647 -4.6%