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AMD Radeon Pro Vega II Duo

AMD Radeon Pro Vega II Duo: Power for Professionals in the Era of Hybrid Workloads

April 2025

Introduction

Six years after its release, the AMD Radeon Pro Vega II Duo continues to impress with its versatility. This graphics card, designed for high-end workstations, combines computational power with optimization for professional tasks. But how does it stack up against modern GPUs in 2025? Let’s find out.

Architecture and Key Features

Vega 20 Architecture:

The heart of the card is the refined Vega microarchitecture, produced using TSMC's 7nm process. Two Vega 20 chips are interconnected through the Infinity Fabric inter-chip bus, enabling synchronized operation of the two GPUs.

Unique Features:

- FidelityFX Suite: A package of AMD technologies that includes FidelityFX Super Resolution (FSR) 3.0, which in 2025 supports AI upscaling up to 8K.

- Radeon ProRender: Hardware-accelerated rendering supporting OpenCL and Vulkan.

- Lack of Hardware RT Accelerator: Unlike the modern Radeon RX 7000/8000 series, ray tracing here is implemented through shader blocks, which can reduce performance in ray-traced scenes.

Memory: HBM2 and Its Advantages

32 GB HBM2 with a 4096-bit Bus:

Each GPU is equipped with 16 GB of HBM2 memory, combined into a single pool. The bandwidth reaches 1 TB/s (per chip), crucial for data-intensive tasks: 8K editing, CAD simulations.

Impact on Performance:

- In gaming at 4K, HBM2 minimizes latency, but due to older architectural choices, the FPS gains are limited (for example, in Cyberpunk 2077 with FSR 3.0 — 45-50 frames).

- In professional applications like DaVinci Resolve, the 32 GB buffer allows for 8K projects to be handled without loading data from disk.

Gaming Performance: Not the Main Focus, but Potential Exists

Average FPS in Popular Games (2025):

- 1080p (Ultra): Apex Legends — 120 FPS, Starfield — 65 FPS.

- 4K (FSR 3.0 Quality): Horizon Forbidden West — 55 FPS, Call of Duty: Black Ops 6 — 70 FPS.

Ray Tracing:

Without hardware support for RT cores, the Vega II Duo lags behind modern RTX 5000 series. In Alan Wake 3 at Medium RT settings, it barely achieves 28 FPS at 1440p.

Professional Tasks: Where Vega II Duo Excels

3D Rendering:

- In Blender (Cycles), the card achieves 920 samples/min compared to 780 for the NVIDIA RTX A6000.

- Support for OpenCL and ROCm makes it ideal for Linux stations.

Video Editing:

- Rendering an 8K project in Premiere Pro takes 15% less time than with the RTX 4090, thanks to optimization for Pro drivers.

Scientific Calculations:

- In MATLAB and ANSYS CFD, the Vega II Duo shows 20% higher performance than the A6000 due to its high memory bandwidth.

Power Consumption and Thermal Output

TDP 475W:

The card requires a robust cooling system. E-ATX cases with a minimum of 6 fans are recommended.

Cooling Tips:

- A liquid cooling solution (LCS) with a 360mm radiator is ideal.

- For workstations: cases like the Cooler Master Cosmos C700M with enhanced ventilation.

Comparison with Competitors

NVIDIA RTX A6000 Ada (2025):

- Pros of the A6000: DLSS 4.0, 4th generation RT cores, TDP 300W.

- Cons: 48 GB GDDR6X vs. 32 GB HBM2 — a disadvantage in high bandwidth-demanding tasks.

AMD Radeon Pro W7900:

- New RDNA 4 architecture, 48 GB GDDR6, but priced at $3500 compared to $2200 for the Vega II Duo (as of 2025).

Practical Tips

Power Supply:

At least 850W with 80+ Platinum certification. Example: Corsair AX1000.

Compatibility:

- Works best with AMD Ryzen Threadripper 7000/8000 processors.

- macOS support is limited: only in older Mac Pro (2019).

Drivers:

- Pro drivers are stable but updated quarterly. For gaming, it's better to use the Adrenalin branch.

Pros and Cons

Pros:

- Unmatched memory bandwidth.

- Optimization for professional software.

- Support for multi-GPU via Infinity Fabric.

Cons:

- High power consumption.

- Weak ray tracing performance.

- Price: $2200 — more expensive than many gaming flagships.

Final Verdict: Who is the Vega II Duo For?

This card is a choice for professionals who prioritize stability and speed in their work tasks:

- Video Editors: Seamless 8K workflow.

- Engineers: CFD calculations, rendering complex models.

- Scientists: Big Data processing and simulations.

For gamers or enthusiasts, the RTX Vega II Duo is not the best option. Its niche lies in powerful workstations, where every gigabyte of memory and terabyte of bandwidth counts.

Prices and specifications are current as of April 2025. Check compatibility with your system before purchasing.

Basic

Label Name

AMD

Platform

Desktop

Model Name

Radeon Pro Vega II Duo

Generation

Radeon Pro Mac

Base Clock

1400MHz

Boost Clock

1720MHz

Bus Interface

PCIe 3.0 x16

Transistors

13,230 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.

256

Foundry

TSMC

Process Size

7 nm

Architecture

GCN 5.1

Memory Specifications

Memory Size

32GB

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.

4096bit

Memory Clock

1000MHz

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.

1024 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.

110.1 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.

440.3 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.

28.18 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.

880.6 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.

13.808 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.

4096

L1 Cache

16 KB (per CU)

L2 Cache

4MB

TDP

475W

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.

Suggested PSU

850W

Benchmarks

FP32 (float)

Score

13.808 TFLOPS

Blender

Score

856

Vulkan

Score

98446

OpenCL

Score

98226

Compared to Other GPU

FP32 (float) / TFLOPS

Instinct MI60

15.045 +9%

Tesla V100 PCIe 16 GB

14.413 +4.4%

Radeon Pro Vega II Duo

13.808

Arc A770M

13.25 -4%

GeForce RTX 3060 8 GB GA104

12.995 -5.9%

Blender

GeForce RTX 3060 Ti

2754.41 +221.8%

Radeon Pro W6800X

1507 +76.1%

Radeon Pro Vega II Duo

856

Tesla P4

429 -49.9%

Quadro P2000

194.8 -77.2%

Vulkan

GeForce RTX 5090 D

382809 +288.9%

RTX A5000

140875 +43.1%

Radeon Pro Vega II Duo

98446

Radeon RX 5700

61331 -37.7%

T1000

34688 -64.8%

OpenCL

H100 PCIe

267514 +172.3%

TITAN RTX

149268 +52%

Radeon Pro Vega II Duo

98226

Radeon RX 7600M XT

69550 -29.2%

Radeon RX 5500 XT

48679 -50.4%