Home / GPU Comparison / AMD Radeon Vega 8 (Ryzen 2000/3000) or AMD Radeon RX 550: What's better?

AMD Radeon Vega 8 (Ryzen 2000/3000)

vs

AMD Radeon RX 550

GPU Comparison Result

Below are the results of a comparison of AMD Radeon Vega 8 (Ryzen 2000/3000) and AMD Radeon RX 550 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon Vega 8 (Ryzen 2000/3000)

Higher Boost Clock: 1100-1200 MHz (1100-1200 MHz vs 1183MHz)
Newer Launch Date: October 2017 (October 2017 vs April 2017)

AMD Radeon RX 550

Larger Memory Size: 2GB (System Shared vs 2GB)
Higher Bandwidth: 112.0 GB/s (Up to 38.4 GB/s vs 112.0 GB/s)

Basic

AMD

Label Name

AMD

October 2017

Launch Date

April 2017

Integrated

Platform

Desktop

Raven Ridge / Picasso

Former Codename

Radeon Vega 8 Graphics

Model Name

Radeon RX 550

Vega

Generation

Polaris

300 MHz

Base Clock

1100MHz

1100-1200 MHz

Boost Clock

1183MHz

IGP

Bus Interface

PCIe 3.0 x8

Transistors

2,200 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.

GlobalFoundries

Foundry

GlobalFoundries

14 nm / 12 nm

Process Size

14 nm

Vega (GCN 5.0)

Architecture

GCN 4.0

Memory Specifications

System Shared

Memory Size

2GB

DDR4

Memory Type

GDDR5

Up to 128-bit

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.

128bit

1200 MHz (DDR4-2400)

Memory Clock

1750MHz

Up to 38.4 GB/s

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.

112.0 GB/s

Display and Media

Yes

AMD FreeSync

Outputs

1x DVI
1x HDMI 2.0b
1x DisplayPort 1.4a

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.

18.93 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.

37.86 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.

1211 GFLOPS

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.

75.71 GFLOPS

1.2288 TFLOPS

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.

1.235 TFLOPS

Miscellaneous

512

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.

512

L1 Cache

16 KB (per CU)

L2 Cache

512KB

TDP

50W

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 (Feature Level 12_1)

DirectX

12 (12_0)

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.

Shader Model

6.4

Suggested PSU

250W