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AMD Radeon Vega 2

AMD Radeon Vega 2
AMD Radeon Vega 2 graphics card review

AMD Radeon Vega 2: When Integrated Graphics Are Only Enough for Basic Tasks

The AMD Radeon Vega 2 is the lowest-tier Vega integrated graphics and is only worth considering for inexpensive laptops aimed at simple tasks. In such systems, it is not responsible for gaming but rather for basic operations: the Windows interface, browsing, video, documents, and the lightest old projects. There’s nearly no headroom - Vega 2 merely handles minimal graphics tasks.

It features 2 compute units, 128 shaders, and shared system memory instead of its own VRAM. The overall performance depends not only on the GPU but also on RAM, cooling, power limits, and the specific APU. Therefore, a laptop with Vega 2 must be evaluated based on the combination of CPU, RAM, SSD, and cooling.

What is Radeon Vega 2

Technically, Radeon Vega 2 is a Vega iGPU with 2 compute units and shared system memory. It operates within the overall thermal design power of the processor, so it does not have a separate power and cooling budget. This is sufficient for office tasks, but gaming and heavy websites will quickly show its limits.

Parameter What It Means in Practice
2 Compute Units The minimum level among Vega iGPUs
128 Shaders Sufficient for the interface, video, and simple applications
Shared System Memory Performance heavily depends on RAM
Clock Speed up to 1100 MHz Does not compensate for single-channel RAM and overheating
Budget APUs Typically found in the most basic laptops

Vega 2 cannot be considered separately from the laptop. With an SSD and 8 GB of RAM, it is still suitable for studying and office work. With 4 GB of RAM, an HDD, and weak cooling, even simple tasks will suffer from delays.

Where Vega 2 Suffices

Radeon Vega 2 is suitable for tasks with no serious 3D loads: browsing, documents, spreadsheets, video conferencing, online streaming, messaging, and basic image processing. The bottleneck is often not Vega 2 itself, but the entire budget laptop: HDD, 4 GB of RAM, or a weak CPU.

The best scenario is light daily use: a few tabs, office tasks, video, remote access, learning tasks. An overloaded browser, heavy websites, and modern games quickly push the system to its limits.

Gaming: Only for Light Projects

Vega 2 can only be considered for gaming as a bonus. The minimum requirements are low settings, reduced resolution, and dual-channel memory. Even older games may run unstably if the laptop is limited in RAM or overheating.

Game / Type of Game Realistic Scenario
League of Legends Low settings; dual-channel RAM is preferable
Dota 2 Low settings, no headroom
CS:GO and older online games Highly dependent on RAM, temperature, and game version
Minecraft without heavy mods Playable at moderate settings
Older 2D games and indie games The best scenario for Vega 2
GTA V Only as an experiment on minimum settings
Modern AAA games Practically outside the capabilities of this GPU

The main mistake is expecting Vega 2 to perform like a lower-tier discrete graphics card. This is an integrated GPU with a minimal number of compute units and shared memory. It can run light and older projects but quickly runs into limitations with RAM, a weak processor, and overall thermal design power.

For gaming, it’s better to look at least at Vega 3, or better yet, Vega 6 or a newer iGPU.

Why Memory Is More Important Than Clock Speed

Vega 2 lacks its own video memory. It uses regular laptop RAM, so single-channel RAM significantly limits the integrated graphics performance. This is not always noticeable in office applications, but the difference becomes critical in gaming and graphic tasks.

For Vega 2, a configuration of 2×4 GB is often better than a single 8 GB module. While memory size is important, dual-channel mode provides the iGPU with more bandwidth. If the laptop only has 4 GB of RAM without an upgrade, that’s a poor base even for Vega 2.

An SSD doesn’t speed up graphics but significantly improves overall system responsiveness: Windows boots faster, browsers and applications open more quickly, and the system stutters less on background tasks. This is critical for an old budget laptop.

Vega 2 vs. Vega 3, Vega 6, and Vega 8

By name, Vega 2 may seem close to other Vega iGPUs, but the differences are noticeable. Vega 2 has only 2 compute units. Vega 3 has 3 CUs, Vega 6 has 6 CUs, and Vega 8 has 8 CUs. The higher the version, the better the performance in old games and graphic tasks.

GPU Positioning
Radeon Vega 2 Basic level for Windows, video, and light tasks
Radeon Vega 3 Minimum for old games at low settings
Radeon Vega 6 More capable integrated graphics for light gaming
Radeon Vega 8 Significantly better option among old Vega iGPUs

At a similar price point, Vega 2 nearly always falls short. It is only worth considering when the laptop is significantly cheaper, in good condition, and purchased for simple tasks. If the price difference is small, it’s better to choose Vega 3, Vega 6, or a newer iGPU.

To Buy or Not to Buy

A laptop with Radeon Vega 2 can only be purchased as a cheap work laptop. It is suitable for documents, browsing, video, studying, remote access, and light applications. For gaming, video editing, heavy websites, or extensive work with many tabs, it is a weak option.

You can consider buying if:

  • The price is significantly lower than similar laptops with Vega 3 or Vega 6;
  • An SSD is installed;
  • It has at least 8 GB of RAM;
  • The memory operates in dual-channel mode or can be upgraded;
  • The laptop does not overheat;
  • Tasks are limited to browsing, office work, video, and studying.

Better not to buy if:

  • The laptop has 4 GB of RAM without upgrade potential;
  • It has a slow HDD;
  • You need to play at least on minimal settings without constant compromises;
  • Video editing, 3D graphics, or heavy web applications are planned;
  • The price is close to models with Vega 3, Vega 6, or newer graphics.

Conclusion

The AMD Radeon Vega 2 should be evaluated as a graphics solution for the most basic tasks. It is enough for Windows, browsing, video, documents, and very light gaming, but it’s not intended for more than that. The main limitations are 2 CUs, shared system memory, and a strong dependence on the laptop configuration.

Buying a laptop with Vega 2 is only worthwhile at a low price. With an SSD, 8 GB of RAM, and normal temperatures, it can still serve as a simple work option. However, if you need gaming without constant compromises, heavy websites, or more reliable performance for the coming years, it’s better to look at least at Vega 3, Vega 6, or newer integrated graphics.

Basic

Label Name
Intel
Platform
Integrated
Launch Date
January 2020
Former Codename
Dali / Raven Ridge
GPU Lithography
12 nm
Model Name
AMD Radeon Vega 2
Generation
Radeon Vega Mobile
Boost Clock
Up to 1100 MHz
Bus Interface
Integrated
RT Cores
No
Compute Units
2
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
No
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.
8
Foundry
GlobalFoundries
Process Size
12 nm
Architecture
Vega

Memory Specifications

Memory Size
Shared system memory
Memory Type
DDR4 shared system memory
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.
Dual-channel system memory, platform dependent
Memory Clock
Up to DDR4-2400, platform dependent
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.
Up to 38.4 GB/s with dual-channel DDR4-2400

Display and Media

AMD FreeSync
Yes
AV1 Encode/Decode
No hardware support
H.264 Hardware Encode/Decode
Encode/Decode
H.265 HEVC Hardware Encode/Decode
Encode/Decode
H.266 VVC Hardware Encode/Decode
No hardware support
Intel Quick Sync Video
No
Outputs
HDMI, DisplayPort; device 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.
4.4 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.
8.8 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.
0.56 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.
17.6 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.
0.28 TFLOPS

AI Features

Intel Deep Learning Boost on GPU
No

Miscellaneous

PCI Express Version
PCIe 3.0
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.
128
TDP
Shared with processor; typically 15 W APU TDP, 12-25 W configurable
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
1.2
OpenGL
4.6
CUDA
No
DirectX
12 (12_1)
Power Connectors
None
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.
4

Benchmarks

FP32 (float)
Score
0.28 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
GeForce GTX 460 v2 ES
1.067 +281.1%
GeForce GTX 460 v2
1.025 +266.1%
Quadro 6000
1.007 +259.6%
FirePro V7770
0.98 +250%
Radeon Vega 2
0.28