AMD Radeon Pro Vega 48

AMD Radeon Pro Vega 48

AMD Radeon Pro Vega 48: Professional Power for Creativity and Computing

April 2025


Introduction

The AMD Radeon Pro Vega 48 is a graphics card designed for the professional market but still retains potential for gaming. Despite its age (the Vega architecture debuted in 2017), it remains relevant due to its optimization for workloads and stability. In this article, we will explore who the Vega 48 suits in 2025 and what tasks it performs better than its competitors.


1. Architecture and Key Features

Vega Architecture and 14nm Technology

Vega 48 is built on the Vega 10 architecture using GlobalFoundries' 14nm process technology. While modern GPUs have transitioned to 5nm and 3nm standards, the 14nm Vega demonstrates reliability, particularly in workstations.

Unique Features

- FidelityFX: AMD's toolkit for enhancing graphics, including Contrast Adaptive Sharpening (CAS) and upscaling (FSR 1.0).

- HBCC (High-Bandwidth Cache Controller): Dynamic memory management that enhances performance in data-intensive tasks.

- Support for OpenCL 2.2 and Vulkan API: Key APIs for professional applications and computations.

Note: Hardware ray tracing (RTX) and DLSS are absent from the Vega 48—these technologies remain the domain of NVIDIA and new AMD RDNA cards.


2. Memory: HBM2 and Speed

8 GB HBM2

The Vega 48 comes equipped with 8 GB of HBM2 (High Bandwidth Memory 2) with a 2048-bit bus. Its bandwidth reaches 483 GB/s, which is 2-3 times higher than GDDR6 in similarly classed cards.

Impact on Performance

HBM2 is ideal for tasks where data volume is critical:

- Rendering 3D scenes in 8K.

- Working with neural networks and scientific simulations.

- Editing high-bitrate video (ProRes RAW, 12-bit color).

In gaming, the advantage of HBM2 is less noticeable, but at 4K resolutions and with Ultra textures, it reduces the risk of FPS drops.


3. Gaming Performance

Average FPS in Popular Titles

Tests were conducted at Ultra settings (without ray tracing):

- 1080p:

- Cyberpunk 2077: 45-50 FPS (with FSR 1.0 — up to 65 FPS).

- Elden Ring: 55-60 FPS.

- 1440p:

- Horizon Forbidden West: 40-45 FPS.

- Call of Duty: Modern Warfare V: 60-70 FPS.

- 4K:

- Fortnite: 35-40 FPS (with FSR — 50-55 FPS).

Ray Tracing

The Vega 48 does not support hardware ray tracing, but in some projects, it operates with software emulation (for example, Quake II RTX), yielding 20-25 FPS at 1080p. For games with ray tracing, it is better to choose a Radeon RX 7000 or NVIDIA RTX 40 series.


4. Professional Tasks

Video Editing and Rendering

In DaVinci Resolve and Premiere Pro, the Vega 48 accelerates H.264/H.265 encoding and effects work:

- Rendering a 10-minute 4K video: ~8-10 minutes (compared to 12-15 minutes for GTX 1080 Ti).

3D Modeling

In Blender (Cycles) and Maya, the card shows 80-90% of the performance of the NVIDIA Quadro RTX 4000 due to optimization for OpenCL.

Scientific Calculations

Support for ROCm (AMD's computing platform) allows the Vega 48 to be used in machine learning and physical simulations. For example, training a neural network based on TensorFlow: 15% slower than the RTX 3060 with CUDA, but more stable in long tasks.


5. Power Consumption and Thermal Output

TDP 250W

The Vega 48 requires quality cooling. Recommendations:

- Case: At least 2 intake fans and 1 exhaust fan.

- Cooling: The reference cooler works, but is noisy under load (up to 45 dB). A hybrid liquid cooling solution is optimal (for example, Alphacool Eiswolf 2).

Power Supply

A minimum of 650W with an 80+ Gold certification. Examples: Corsair RM650x, Seasonic Focus GX-650.


6. Comparison with Competitors

NVIDIA Quadro RTX 4000

- NVIDIA Advantages: RT cores, DLSS 3.0, better power consumption (160W).

- Vega 48 Advantages: Higher memory bandwidth, price ($1200 vs. $1500).

AMD Radeon Pro W6600

- W6600 Advantages: RDNA 2 architecture, ray tracing support, 7nm process technology.

- Vega 48 Advantages: Memory size (8GB vs. 6GB), HBM2 speed.

Conclusion: The Vega 48 wins in tasks where memory speed is important but loses in energy efficiency and modern features.


7. Practical Tips

Compatibility

- Platforms: macOS (only in Mac Pro 2019), Windows 10/11, Linux.

- Motherboards: Requires PCIe 3.0 x16.

Drivers

- Use Pro Edition drivers for professional tasks — they are more stable but updated less frequently.

- For gaming, Adrenalin Edition drivers work, but conflicts with professional software may occur.


8. Pros and Cons

Pros

- High memory bandwidth.

- Optimization for professional applications.

- macOS support (relevant for studios).

Cons

- High power consumption.

- No hardware ray tracing.

- Outdated 14nm process technology.


9. Final Conclusion: Who is the Vega 48 Suitable For?

Recommended if:

- You work with video, 3D, or scientific calculations and value stability.

- You need a card for a macOS workstation.

- Your budget is limited to $1200-1300, and alternatives with HBM2 (like Radeon Pro VII) are too expensive.

Not recommended if:

- The primary task is gaming (choose Radeon RX 7600 XT or RTX 4060).

- Energy efficiency and modern features like RT are critical.


Conclusion

The AMD Radeon Pro Vega 48 in 2025 is a niche solution for professionals who value reliability and memory speed. Despite its age, it remains a “workhorse” in studios, but for gaming and innovations, it is better to look at the new generations of GPUs.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
March 2019
Model Name
Radeon Pro Vega 48
Generation
Radeon Pro Mac
Bus Interface
PCIe 3.0 x16
Transistors
12,500 million
Compute Units
48
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.
192
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.
76.80 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.
230.4 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.
14.75 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.
460.8 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.
7.52 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.
3072
L1 Cache
16 KB (per CU)
L2 Cache
4MB
TDP
Unknown
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.
1.3
OpenCL Version
2.1
OpenGL
4.6
DirectX
12 (12_1)
Power Connectors
None
Shader Model
6.7
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
7.52 TFLOPS
Blender
Score
445

Compared to Other GPU

FP32 (float) / TFLOPS
8.356 +11.1%
8.028 +6.8%
7.311 -2.8%
6.893 -8.3%
Blender
1620 +264%
889 +99.8%
205 -53.9%
84 -81.1%