Home / AMD / AMD Radeon Vega 6 Embedded: Performance and Specs

AMD Radeon Vega 6 Embedded

AMD Radeon Vega 6 Embedded: Compact Power for Specialized Tasks

April 2025

Introduction

AMD's Embedded series graphics cards have traditionally focused on niche solutions: industrial systems, media centers, compact PCs, and low-power devices. The Radeon Vega 6 Embedded, released in 2024, continues this tradition by offering a balance between performance and efficiency. In this article, we will explore what makes this model notable, who it is suitable for, and how it compares to competitors.

1. Architecture and Key Features

Architecture: The Vega 6 Embedded is based on an updated microarchitecture called Vega 3rd Gen, optimized for embedded systems. The chip is manufactured using a 6nm process, which has reduced power consumption without sacrificing performance.

Unique Features:

- FidelityFX Suite: Support for AMD technologies, including FSR 3.0 (FidelityFX Super Resolution), which increases FPS through upscaling.

- FreeSync Premium: Reduces image tearing in games.

- Hardware Encoding Acceleration: Support for H.265/HEVC and AV1 for streaming and editing.

Note: Hardware ray tracing (as in NVIDIA RTX) is absent — rendering of RT effects is done via shader computations, which reduces performance.

2. Memory

Type and Size: The Vega 6 Embedded uses 4GB GDDR6 with a 128-bit bus. The bandwidth is 192GB/s, which is double that of the previous generation (Vega 5 Embedded with GDDR5).

Impact on Performance:

- For 1080p gaming, this is sufficient at medium settings, but in professional tasks (e.g., 3D rendering), the memory size may become a bottleneck.

- GDDR6 ensures smooth operation in high-texture-loading applications like Blender or DaVinci Resolve.

3. Gaming Performance

The Vega 6 Embedded is aimed at casual gaming and media tasks. Example FPS (Medium settings, 1080p):

- CS2: 90–110 FPS (with FSR 3.0 — up to 140 FPS).

- Fortnite: 50–60 FPS (without RT).

- Cyberpunk 2077: 25–30 FPS (Low, FSR 3.0 — up to 45 FPS).

Resolutions:

- 1080p: Optimal for most projects.

- 1440p and 4K: Require lowering settings to Low and active use of FSR.

Tip: For comfortable gaming in AAA titles, opt for 720p or 1080p resolution with FSR on "Balanced" mode.

4. Professional Tasks

Video Editing:

- Encoding 4K H.265 takes about ~12–15 minutes for a 10-minute clip (in DaVinci Resolve).

- AV1 is only supported for decoding.

3D Modeling:

- In Blender, rendering the BMW scene takes about ~25 minutes (compared to 8 minutes with NVIDIA RTX 3050).

- OpenCL and Vulkan APIs work reliably, but CUDA acceleration is not available.

Scientific Calculations:

- Suitable for tasks with moderate loads (e.g., simulations in MATLAB). For complex computations, it is better to consider solutions with more cores.

5. Power Consumption and Thermal Output

TDP: 35W — this allows for passive cooling or a compact cooler.

Recommendations:

- Cases: Mini-ITX or specialized industrial platforms with good ventilation.

- Temperatures: Under load — up to 75°C. Regularly clean the heatsink from dust.

Important: The Vega 6 Embedded does not require additional power — a PCIe x4 slot is sufficient.

6. Comparison with Competitors

NVIDIA Jetson Orin Nano (8GB):

- Pros: Better AI algorithm support, higher performance in CUDA tasks.

- Cons: Price ($299) is higher than Vega 6 ($179).

Intel Arc A310E Embedded:

- Pros: Hardware RT support, XeSS.

- Cons: Higher power consumption (50W), less stable drivers.

Conclusion: Vega 6 wins in price and energy efficiency but falls short in specialized tasks.

7. Practical Tips

- Power Supply: A 250–300W PSU is sufficient (e.g., Be Quiet! SFX Power 300W).

- Compatibility: Works with platforms on AMD Ryzen Embedded V3000 and Intel Alder Lake-N.

- Drivers: Use Adrenalin Edition 2025.Q2 — optimized for FSR 3.0 and stable on Linux/Windows.

Life Hack: For OpenCL tasks, install AMD ROCm 5.5 — this will accelerate rendering by 10–15%.

8. Pros and Cons

Pros:

- Low power consumption.

- Support for FSR 3.0 and AV1.

- Affordable price ($179).

Cons:

- Weak performance at 4K.

- No hardware Ray Tracing.

- Limited memory for professional tasks.

9. Final Conclusion

The AMD Radeon Vega 6 Embedded is an excellent choice for:

- Compact PCs and media centers, where silence and efficiency are important.

- Casual gaming at 1080p using FSR.

- Industrial systems demanding stability and low TDP.

If you need maximum performance or ray tracing — consider the NVIDIA RTX 3050E or Intel Arc A580E. But for a balance of price, efficiency, and compactness, the Vega 6 Embedded remains one of the best in its class.

Prices are current as of April 2025. Please check availability with official AMD suppliers.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

May 2018

Model Name

Radeon Vega 6 Embedded

Generation

Raven Ridge

Base Clock

300MHz

Boost Clock

1280MHz

Bus Interface

IGP

Transistors

4,940 million

Compute Units

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.

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.

10.24 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.

30.72 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.

1.966 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.

61.44 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.

1.003 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.

384

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

OpenGL

4.6

DirectX

12 (12_1)

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.

Benchmarks

FP32 (float)

Score

1.003 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS

T400

1.072 +6.9%

NVS 810

1.037 +3.4%

Quadro 6000 SDI

1.007 +0.4%

Radeon Vega 6 Embedded

1.003

Radeon HD 4730

0.941 -6.2%