AMD Radeon Vega 3

AMD Radeon Vega 3
AMD Radeon Vega 3 graphics card review

AMD Radeon Vega 3: the entry-level Vega for basic laptops and old games

AMD Radeon Vega 3 was included in budget laptops not for gaming, but for basic graphics without a dedicated graphics card. It was meant to make the system a bit more versatile: Windows, video, browsing, simple graphics, and old games at low settings. As the lowest variant of Vega, it’s not reasonable to expect much headroom, but it's also incorrect to dismiss it as a useless "placeholder."

In terms of specifications, Vega 3 is at the lower end of the family: 3 compute units, 192 shaders, and shared system memory instead of dedicated VRAM. However, having just CU and shaders is not enough. Speed is influenced not only by the GPU core but also by RAM, cooling, power limits, and the specific APU. Therefore, two laptops with Radeon Vega 3 can perform quite differently.

What is Radeon Vega 3

Radeon Vega 3 has appeared in budget AMD APUs, such as the Athlon 300U and Ryzen 3 3200U. This is the entry-level Vega integrated GPU without dedicated memory, separate power package, and headroom for heavy graphics.

The main limitation of Vega 3 is the bandwidth of the RAM. In office tasks, this hardly matters, but in games it quickly becomes a bottleneck. A single RAM module cuts down on bandwidth, and the integrated graphics struggle not against the core clock but against memory limitations.

Factor Why it matters for Vega 3
Dual-channel RAM Provides a noticeable boost for integrated graphics
SSD instead of HDD Accelerates the system more than it seems for the GPU
8 GB RAM or more Minimum for Windows, browsing, and light gaming
Cooling Affects CPU and GPU frequencies under load
TDP settings The same GPU behaves differently in different laptops

Where Vega 3 is still sufficient

Vega 3 does not compete with discrete graphics cards. Its domain is everyday tasks without heavy 3D graphics: Windows interface, browsing, office applications, video calls, and video playback. For a cheap laptop, this is more important than comparison with gaming GPUs, which it cannot compete with anyway.

Vega 3 is best suited for tasks that do not place high demands on graphics: documents, spreadsheets, YouTube, online streaming, messaging, and simple image processing. In such scenarios, users are more likely to hit a slow storage drive, 4 GB of RAM, or a weak processor than the graphics unit itself.

Thus, a laptop with Vega 3 should not be dismissed solely based on the name of the graphics. If the configuration is not cut down to the bare minimum, it can still be a viable option for study, remote work, and home tasks.

Gaming: only old titles and only with compromises

In games, Vega 3 relies on three conditions: low settings, reduced resolution, and dual-channel memory. Without these, even less demanding titles can perform worse than expected.

Game / type of game Realistic scenario
League of Legends, Dota 2 Low settings, usually playable
World of Tanks, War Thunder Low settings, better to reduce resolution
GTA V 720p, minimal settings, no headroom
CS:GO and older online games Highly dependent on RAM and cooling
Minecraft without heavy mods Playable at moderate settings
Modern AAA games Better not to expect

The main mistake is to expect Vega 3 to behave like a discrete GPU. It can launch older games, but it quickly falters in projects with heavy textures, open worlds, and high memory usage. Even a browser with a dozen tabs can eat into some of the resources needed for a game.

For older titles, Vega 3 is still acceptable. For modern games, it lacks compute units, memory bandwidth, and dedicated VRAM. Launching a game does not mean playing it comfortably.

Why dual-channel memory is critical for Vega 3

A discrete graphics card has its own VRAM. Vega 3 uses the laptop's regular RAM. Therefore, a single RAM module instantly cuts the bandwidth.

This is especially important for integrated graphics. 2×4 GB is often better for Vega 3 than one 8 GB module. The amount of memory is important, but dual-channel mode for such a GPU can have a more noticeable effect.

When buying a used laptop, it’s important to look not only at the processor but also at the memory configuration. One slot, soldered RAM without a second channel, or 4 GB as a base is a reason to bargain or skip the purchase. Vega 3 already operates at a minimal level, so weak memory noticeably reduces its speed.

Vega 3 vs Vega 6 and Vega 8

By name, Vega 3 seems close to Vega 6 and Vega 8, but the difference is significant. Vega 3 has 3 compute units, Vega 6 has 6 CU, and Vega 8 has 8 CU. The older versions have more execution units, higher frame rates in older games, and better performance in graphic tasks.

GPU Positioning
Radeon Vega 3 Minimum level for basic tasks and old games
Radeon Vega 6 More competent integrated graphics for light gaming
Radeon Vega 8 The most noticeable step up among older Vega iGPUs

If the prices are close, a laptop with Vega 6 or Vega 8 will be the better buy. Vega 3 should only be considered at a significantly lower price or for very simple requirements: browsing, documents, video, and old games without demands.

Should you buy a laptop with Radeon Vega 3

A laptop with Vega 3 makes sense only as a budget working option. It’s worth considering if price, simple tasks, and minimal gaming load are important. For study, office use, travel, remote access, movies, and documents, this may be sufficient.

Before purchasing, it’s best to check four things:

  • Is there an SSD?
  • How much RAM is installed?
  • Is the memory working in dual-channel mode?
  • Does the laptop overheat under load?

If the device has 4 GB of RAM, a slow HDD, and weak cooling, Vega 3 will not save the system. With an SSD, 8-16 GB RAM, and normal temperatures, such a laptop will be noticeably more responsive.

Conclusion

AMD Radeon Vega 3 should be evaluated as entry-level integrated graphics for cheap laptops, not as a gaming solution. It is suitable for Windows, browsing, video, office tasks, and some older games but quickly hits limitations with memory and weak cooling. If the laptop has an SSD, 8-16 GB RAM, and dual-channel mode, such a configuration can still be a justifiable purchase. For modern games, video editing, and heavy graphics, Vega 3 is already too weak.

Basic

Label Name
Intel
Platform
Integrated
Launch Date
January 2018
Former Codename
Raven Ridge / Picasso
GPU Lithography
14 nm / 12 nm, APU-dependent
Model Name
AMD Radeon Vega 3
Generation
Radeon Vega Mobile
Base Clock
600 MHz
Boost Clock
Up to 1200 MHz
Bus Interface
Integrated
RT Cores
No
Compute Units
3
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.
12
Foundry
GlobalFoundries
Process Size
14 nm / 12 nm, APU-dependent
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
Number of Displays Supported
Up to 3, platform dependent
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.
4.8 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.
14.4 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.
0.92 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.
28.8 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.
0.46 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.
192
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
0.46 TFLOPS
3DMark Time Spy
Score
371.8
Vulkan
Score
5847
OpenCL
Score
3959

Compared to Other GPU

FP32 (float) / TFLOPS
1.067 +132%
1.025 +122.8%
1.007 +118.9%
0.98 +113%
3DMark Time Spy
4775 +1184.3%
3662 +884.9%
2378 +539.6%
1607 +332.2%
Vulkan
84494 +1345.1%
56877 +872.8%
A2
34563 +491.1%
17379 +197.2%
OpenCL
54453 +1275.4%
34620 +774.5%
18176 +359.1%
10722 +170.8%