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AMD Radeon RX Vega 10 Mobile

AMD Radeon RX Vega 10 Mobile: Overview of Capabilities and Relevance in 2025

Introduction

AMD Radeon RX Vega 10 Mobile is an integrated graphics solution that has long been popular in budget and mid-range laptops. Despite the emergence of new architectures like RDNA 3, Vega 10 maintains its niche due to its balance of price and performance. In this article, we will explore what this graphics card is capable of in 2025, who it is suitable for, and how it competes with modern counterparts.

1. Architecture and Key Features

Vega Architecture: The RX Vega 10 Mobile is based on the Vega microarchitecture, introduced by AMD in 2017. It was one of the first solutions to combine Compute Units with support for HBCC (High Bandwidth Cache Controller) technology to optimize memory performance.

Manufacturing Process: The chip is manufactured using a 14nm process by GlobalFoundries. By 2025, this becomes an outdated standard, but it explains the low cost of devices with this graphics solution.

Unique Features:

- FidelityFX: Support for AMD's open technology suite, including FSR (FidelityFX Super Resolution) 1.0, which enhances FPS through image upscaling.

- FreeSync: Adaptive synchronization for smooth gameplay.

- No Hardware Ray Tracing: Unlike RDNA 2/3, Vega 10 does not support ray tracing.

2. Memory

Type and Capacity:

The Vega 10 Mobile uses system memory DDR4/LPDDR4 (depending on the laptop's configuration) rather than dedicated video memory. The total volume depends on the manufacturer's settings—usually 2-4 GB allocated from the RAM.

Bandwidth:

Limited by the RAM speed (up to 2400 MHz for DDR4), this results in a peak bandwidth of about 38.4 GB/s (for dual-channel mode). This is a weak point for Vega 10, especially in games with heavy textures.

3. Gaming Performance

Average FPS (1080p, low settings):

- CS:GO — 60-80 FPS.

- Fortnite — 40-50 FPS (with FSR 1.0).

- GTA V — 35-45 FPS.

- Valorant — 70-90 FPS.

- Cyberpunk 2077 — 18-25 FPS (only with minimum settings and FSR).

Higher Resolutions:

1440p and 4K are not recommended—even in lighter projects, FPS drops below 30.

Ray Tracing:

Not supported. For ray tracing games (e.g., Cyberpunk 2077), an NVIDIA GTX 1650 or newer is required.

4. Professional Tasks

Video Editing:

In Premiere Pro and DaVinci Resolve, Vega 10 can handle 1080p video rendering, but for 4K, a discrete card is necessary. Acceleration via OpenCL works but is slower than CUDA on NVIDIA.

3D Modeling:

In Blender and AutoCAD—basic tasks (simple scenes) are handled comfortably, but complex projects require more resources.

Scientific Computing:

OpenCL support allows the card to be used for basic machine learning tasks, but its efficiency is lower than that of specialized solutions.

5. Power Consumption and Heat Dissipation

TDP:

The integrated Vega 10 Mobile graphics has a TDP range of 10-25 W (depending on the laptop configuration).

Cooling:

Laptops with Vega 10 are often equipped with passive or hybrid cooling systems. Good ventilation is important for stable operation—look for models with copper pipes and dual fans.

Recommendations:

- Avoid prolonged loads (like gaming) on thin devices.

- Use cooling pads for laptops.

6. Comparison with Competitors

AMD Radeon 780M (RDNA 3):

New integrated graphics in the Ryzen 8000 series. 50-70% faster in games, supports FSR 3.0 and partial Ray Tracing.

NVIDIA MX550:

Discrete card with GDDR6. 30-40% more performant than Vega 10 but requires more power.

Intel Iris Xe (11-12 gen):

Comparable to Vega 10 in games but better optimized for creative tasks.

7. Practical Tips

Power Supply:

A standard 65W adapter is sufficient, but for gaming sessions, choose models with a power reserve (90W).

Compatibility:

Vega 10 is found in laptops with Ryzen 5 2500U/3500U processors. Ensure the system has dual-channel memory (2x8 GB DDR4) for maximum performance.

Drivers:

AMD continues to release updates, but some older laptop models may not receive them. Use official utilities (AMD Adrenalin) for configuration.

8. Pros and Cons

Pros:

- Low price of laptops (starting from $450 in 2025).

- Support for modern technologies (FreeSync, FSR).

- Energy efficiency for basic tasks.

Cons:

- Weak performance in AAA games.

- Dependence on RAM speed.

- Lack of hardware Ray Tracing.

9. Final Conclusion

Who is Vega 10 Mobile suitable for in 2025?

- Students and Office Users: For document work, video viewing, and light gaming.

- Budget Gamers: If the main goal is CS:GO, Dota 2, or indie projects.

- Travelers: Laptops with Vega 10 are often compact and lightweight.

Alternatives:

With a budget of $600 or more, it is better to choose devices with Radeon 780M or NVIDIA RTX 2050 Mobile—they will provide a future-proof experience.

Conclusion

The RX Vega 10 Mobile is a prime example of a "long-lifer" among integrated solutions. Despite its age, it remains relevant in the budget segment, but for serious tasks, one should consider more modern GPUs. In the 2025 landscape, this card is a choice for those who value a balance between price and basic performance.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

October 2017

Model Name

Radeon RX Vega 10 Mobile

Generation

Raven Ridge

Base Clock

300MHz

Boost Clock

1301MHz

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.

10.41 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.

52.04 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.

3.331 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.

104.1 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.

1.698 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.

640

TDP

10W

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.

Benchmarks

FP32 (float)

Score

1.698 TFLOPS

Blender

Score

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon Pro 560

1.821 +7.2%

Radeon Graphics 512SP

1.756 +3.4%

Radeon RX Vega 10 Mobile

1.698

Radeon R9 360 OEM

1.645 -3.1%

Jetson Orin NX 8 GB

1.598 -5.9%

Blender

GeForce RTX 2060

1506.77 +1652.1%

Arc A550M

848 +886%

Quadro T1000 Mobile GDDR6

415 +382.6%

GeForce GTX 880M

194 +125.6%

Radeon RX Vega 10 Mobile