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AMD Radeon Pro Vega 64X

AMD Radeon Pro Vega 64X: Power for Professionals and Enthusiasts

Review is relevant as of April 2025

Architecture and Key Features

The AMD Radeon Pro Vega 64X graphics card is built on the updated Vega Next architecture, which combines the legacy of the Vega series with modern optimizations for professional and gaming tasks. The manufacturing process is 5 nm TSMC, allowing for increased transistor density and reduced power consumption compared to its predecessors.

Key features:

- Accelerated Ray Tracing: Built-in Ray Accelerators 2.0 provide up to a 1.5x performance boost compared to the first version.

- FidelityFX Super Resolution 3.0: A technology that enhances image clarity with minimal quality loss, supporting “Quality” and “Performance” modes.

- Infinity Cache 128 MB: Reduces memory latency, improving performance in 4K.

The card also supports AMD Smart Access Memory for systems with Ryzen 5000/7000 processors and newer, which enhances data exchange speeds between the CPU and GPU.

Memory: Speed and Efficiency

The Vega 64X is equipped with 16 GB HBM3 with a bandwidth of 2.4 TB/s — 1.3 times higher than the HBM2 in previous models. High bandwidth is critical for tasks:

- 4K real-time rendering.

- Scientific calculations, where processing large datasets is required.

- Gaming with ultra settings at 4K resolution, where texture detail demands resources.

With HBM3, the card demonstrates stable performance even under peak loads, without FPS drops in games or stuttering in professional applications.

Gaming Performance: 4K Without Compromise

In 2025 tests, the Vega 64X shows the following results (Ultra settings, without FSR):

- Cyberpunk 2077: 58 FPS at 4K, 72 FPS with FSR 3.0 in “Quality” mode.

- Starfield: 64 FPS at 4K, 85 FPS with ray tracing and FSR.

- Horizon Forbidden West: 76 FPS at 4K.

At 1440p, scores reach 100-120 FPS, and at 1080p the card is overkill — it runs into CPU limitations. Ray tracing reduces FPS by 25-35%, but enabling FSR 3.0 compensates for the losses.

Professional Tasks: Power for Work

The Vega 64X is optimized for:

- Video Editing: Rendering 8K projects in DaVinci Resolve is accelerated by 40% thanks to support for OpenCL and ROCm 5.0.

- 3D Modeling: In Blender, the rendering cycle for a scene takes 30% less time than with the Radeon Pro W6800.

- Scientific Calculations: Support for FP64 (double precision) makes the card suitable for simulations in MATLAB or ANSYS.

However, for tasks tailored for NVIDIA CUDA (such as some Adobe Premiere plugins), the Vega 64X may lag behind Ampere counterparts.

Power Consumption and Thermal Output

The card's TDP is 300 W, which requires a well-thought-out cooling system. Recommendations:

- Case: At least 3 fans (2 intake, 1 exhaust) or an AIO for compact builds.

- Cooling: The reference version with a turbine is noisy (up to 42 dB under load). It's better to choose custom models with a three-fan setup (for example, from Sapphire).

The core temperature stays around 75-80°C under maximum load.

Comparison with Competitors

Key competitors of the Vega 64X in 2025:

- NVIDIA RTX 4080 Super ($1099): Better in ray tracing (+20% FPS), but only has 12 GB GDDR6X.

- AMD Radeon RX 7900 XTX ($999): Cheaper but lacks optimizations for professional tasks.

- Intel Arc A880 ($949): Good for gaming but weak in professional applications.

Vega 64X ($1199) is the sweet spot for those who need a balance between gaming and professional performance.

Practical Tips

- Power Supply: At least 750 W with an 80+ Gold certification. For overclocking — 850 W.

- Platform: Best compatibility with motherboards using X670/B650 chipsets (PCIe 5.0 x16).

- Drivers: Use "Pro" versions for professional applications and "Adrenalin" for gaming.

Pros and Cons

Pros:

- Ideal for 4K and multimedia tasks.

- 16 GB HBM3 provides future-proofing.

- Support for FSR 3.0 and SAM.

Cons:

- High power consumption.

- Noisy reference cooling system.

- Price above the average segment.

Final Conclusion

The AMD Radeon Pro Vega 64X is the choice for:

- Professionals: Video editors, 3D designers, and engineers will appreciate the rendering speed and stability.

- Gamers: Those who want to play at 4K with maximum settings and are ready to invest in a powerful PSU.

If your tasks require versatility and you’re not willing to buy separate gaming and workstation cards — the Vega 64X will be an excellent compromise. However, for purely gaming PCs, consider the Radeon RX 7900 XTX or NVIDIA RTX 4080 Super.

Prices are relevant as of April 2025. Listed prices are for new devices in retail outlets in the USA.

Basic

Label Name

AMD

Platform

Mobile

Launch Date

March 2019

Model Name

Radeon Pro Vega 64X

Generation

Radeon Pro Mac

Base Clock

1250MHz

Boost Clock

1468MHz

Bus Interface

PCIe 3.0 x16

Transistors

12,500 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

GlobalFoundries

Process Size

14 nm

Architecture

GCN 5.0

Memory Specifications

Memory Size

16GB

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

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.

512.0 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.

93.95 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.

375.8 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.

24.05 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.

751.6 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.

11.789 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

250W

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

11.789 TFLOPS

Blender

Score

624

Compared to Other GPU

FP32 (float) / TFLOPS

CMP 170HX 8 GB

12.504 +6.1%

Radeon 8060S

12.199 +3.5%

Radeon Pro Vega 64X

11.789

TITAN X Pascal

11.189 -5.1%

Radeon Pro Vega 64

10.839 -8.1%

Blender

GeForce RTX 2080 SUPER

2155.51 +245.4%

Radeon RX 7600

1265.43 +102.8%

Radeon Pro Vega 64X

624

Quadro RTX 3000 Max Q

341 -45.4%

GeForce GTX 950M

132 -78.8%