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AMD Radeon RX 560

vs

AMD Radeon RX 5700 XT

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 560 and AMD Radeon RX 5700 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 5700 XT

Higher Boost Clock: 1905MHz (1275MHz vs 1905MHz)
Larger Memory Size: 8GB (4GB vs 8GB)
Higher Bandwidth: 448.0 GB/s (112.0 GB/s vs 448.0 GB/s)
More Shading Units: 2560 (1024 vs 2560)
Newer Launch Date: July 2019 (April 2017 vs July 2019)

Basic

AMD

Label Name

AMD

April 2017

Launch Date

July 2019

Desktop

Platform

Desktop

Radeon RX 560

Model Name

Radeon RX 5700 XT

Polaris

Generation

Navi

1175MHz

Base Clock

1605MHz

1275MHz

Boost Clock

1905MHz

PCIe 3.0 x8

Bus Interface

PCIe 4.0 x16

3,000 million

Transistors

10,300 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.

160

GlobalFoundries

Foundry

TSMC

14 nm

Process Size

7 nm

GCN 4.0

Architecture

RDNA 1.0

Memory Specifications

4GB

Memory Size

8GB

GDDR5

Memory Type

GDDR6

128bit

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.

256bit

1750MHz

Memory Clock

1750MHz

112.0 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.

448.0 GB/s

Display and Media

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

Outputs

1x HDMI 2.1
3x DisplayPort 1.4a

Theoretical Performance

20.40 GPixel/s

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.

121.9 GPixel/s

81.60 GTexel/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.

304.8 GTexel/s

2.611 TFLOPS

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.

19.51 TFLOPS

163.2 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.

609.6 GFLOPS

2.559 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.

9.949 TFLOPS

Miscellaneous

1024

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.

2560

16 KB (per CU)

L1 Cache

1024KB

L2 Cache

4MB

75W

TDP

225W

1.2

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

2.1

OpenCL Version

2.1

4.6

OpenGL

4.6

12 (12_0)

DirectX

12 (12_1)

None

Power Connectors

1x 6-pin + 1x 8-pin

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.

6.4

Shader Model

6.5

250W

Suggested PSU

550W