AMD Radeon Pro Vega 56

AMD Radeon Pro Vega 56

AMD Radeon Pro Vega 56 in 2025: Is it Worth Considering?

Professional Tool or Obsolete Solution?


Introduction

Despite being released back in 2017, the AMD Radeon Pro Vega 56 still piques the interest of professionals and enthusiasts. By 2025, this graphics card is no longer new, but its unique features and availability on the secondary market make it an interesting option for certain tasks. Let's explore who it is suitable for today and what compromises one might have to accept.


Architecture and Key Features

Vega: A Balance Between Computing and Graphics

The graphics card is built on the Vega architecture (5th generation GCN) with a manufacturing process of 14 nm. This was AMD's first generation to feature HBM2 memory (High Bandwidth Memory), which significantly increased bandwidth.

Key technologies include:

- Rapid Packed Math — acceleration of half-precision (FP16) operations, useful for machine learning.

- HBCC (High Bandwidth Cache Controller) — dynamic memory management that enhances performance with large datasets.

- FidelityFX — a suite of tools for image enhancement (contrast sharpening, post-processing shaders).

However, there is no hardware ray tracing support (as seen with NVIDIA RTX); that capability belongs to newer RDNA 2/3 architectures.


Memory: HBM2 vs. GDDR6

Speed vs. Availability

The Vega 56 is equipped with 8 GB of HBM2 with a bandwidth of 410 GB/s — 2-3 times higher than that of GDDR6 in its contemporary cards (e.g., GeForce GTX 1080: 320 GB/s).

Advantages of HBM2:

- Efficiency in tasks requiring processing of large volumes of data (rendering, scientific calculations).

- Lower latency.

Disadvantages:

- High manufacturing cost (which is why HBM is rarely seen in consumer GPUs).

- Limited capacity (8 GB compared to 12-16 GB in modern models).

For gaming in 2025, 8 GB may be insufficient for 4K resolution, but it will suffice for 1440p or professional applications.


Gaming Performance

Moderate Performance in 2025

In contemporary titles, the Vega 56 shows modest results:

- Cyberpunk 2077 (2023): 1080p/Medium — 45-50 FPS; 1440p — 30-35 FPS.

- Alan Wake 2 (2024): 1080p/Low — 40 FPS (no ray tracing).

- Fortnite (2025): 1440p/High — 60 FPS (with FSR 2.0).

Resolution Support:

- 1080p: Comfortable for most games at medium settings.

- 1440p: Requires lowering quality in AAA titles.

- 4K: Only for older or less demanding games (e.g., CS2, Dota 2).

FSR (FidelityFX Super Resolution) — a lifesaver for Vega 56. Enabling FSR 2.1/3.0 can boost FPS by 30-50%, but image quality suffers.


Professional Tasks

Strength Lies in Calculations

Thanks to its Vega architecture and HBM2, this card is still in demand for:

- 3D rendering (Blender, Maya): Rendering speed comparable to the NVIDIA GTX 1080 Ti.

- Video editing (DaVinci Resolve, Premiere Pro): Acceleration of H.264/H.265 encoding.

- Scientific calculations (OpenCL, ROCm): Support for libraries for simulations and machine learning.

Comparison with NVIDIA:

- In CUDA tasks (e.g., Adobe Suite), NVIDIA leads.

- For OpenCL-optimized applications (Blender, some scientific packages), the Vega 56 competes with the Quadro P4000.


Power Consumption and Heat Output

Power-hungry "Veteran"

- TDP: 210 W — higher than modern counterparts (e.g., RTX 4060: 115 W).

- Cooling Recommendations:

- Good case ventilation is essential (at least 2 intake fans).

- A liquid cooling system is desirable for overclocking (the reference cooler is noisy under load).

- Power Supply: At least 600 W (with headroom for peak loads).


Comparison with Competitors

Who Does the Vega 56 Outperform in 2025?

- NVIDIA RTX 3060: Better in gaming (+20% FPS), supports DLSS and ray tracing. However, it is more expensive (new ones starting at $300).

- AMD Radeon RX 6600 XT: More energy-efficient, but the 8 GB of GDDR6 falls short in professional tasks.

- Intel Arc A750: Comparable in gaming performance, but drivers are less stable.

Verdict: The Vega 56 only excels in OpenCL applications and for budget-conscious buyers ($150-200 on the secondary market).


Practical Tips

How to Avoid Problems?

1. Power Supply: 600-650 W with an 80+ Bronze certification.

2. Compatibility: PCIe 3.0 x16 (suitable for most motherboards).

3. Drivers: Use Adrenalin Pro 2024 Edition — optimized for older GPUs.

4. Overclocking: Increase core frequency to 1600 MHz and memory to 950 MHz (requires good cooling).

Important: New Vega 56 cards are no longer sold; when purchasing used ones, check the condition of the cooling system and the absence of any mining history.


Pros and Cons

✔️ Pros:

- High memory bandwidth (HBM2).

- Good performance in OpenCL tasks.

- Support for FSR 3.0 in games.

❌ Cons:

- No hardware ray tracing.

- High power consumption.

- Limited driver support.


Final Conclusion

Who is the Radeon Pro Vega 56 Suitable For in 2025?

1. Professionals: Those working with OpenCL applications (rendering, encoding) looking for a budget solution.

2. Gamers: Fans of less demanding games or those willing to play at medium settings in 1080p/1440p.

3. Enthusiasts: Experimenters wanting to build a budget PC for specific tasks.

Alternative: If your budget allows, consider the Radeon RX 7600 or NVIDIA RTX 4060 — they are more energy-efficient and ready for future games.

The Vega 56 is a prime example of a "workhorse" that, despite its age, remains useful in niche scenarios. However, for modern AAA games and tasks requiring ray tracing, it is no longer relevant.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
August 2017
Model Name
Radeon Pro Vega 56
Generation
Radeon Pro Mac
Base Clock
1138MHz
Boost Clock
1250MHz
Bus Interface
PCIe 3.0 x16
Transistors
12,500 million
Compute Units
56
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.
224
Foundry
GlobalFoundries
Process Size
14 nm
Architecture
GCN 5.0

Memory Specifications

Memory Size
8GB
Memory Type
HBM2
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.
2048bit
Memory Clock
786MHz
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.
402.4 GB/s

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.
80.00 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.
280.0 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.
17.92 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.
560.0 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.
8.781 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.
3584
L1 Cache
16 KB (per CU)
L2 Cache
4MB
TDP
210W
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.
64

Benchmarks

FP32 (float)
Score
8.781 TFLOPS
Blender
Score
521

Compared to Other GPU

FP32 (float) / TFLOPS
10.043 +14.4%
8.49 -3.3%
8.147 -7.2%
Blender
1917 +267.9%
1033 +98.3%
276.39 -47%
107.76 -79.3%