Home / GPU Comparison / Intel Iris Xe Graphics 80EU or AMD Radeon 540X Mobile: What's better?

Intel Iris Xe Graphics 80EU

vs

AMD Radeon 540X Mobile

GPU Comparison Result

Below are the results of a comparison of Intel Iris Xe Graphics 80EU and AMD Radeon 540X Mobile video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel Iris Xe Graphics 80EU

Higher Boost Clock: 1300MHz (1300MHz vs 1095MHz)
More Shading Units: 640 (640 vs 512)
Newer Launch Date: January 2022 (January 2022 vs February 2019)

AMD Radeon 540X Mobile

Larger Memory Size: 2GB (System Shared vs 2GB)
Higher Bandwidth: 32.00 GB/s (System Dependent vs 32.00 GB/s)

Basic

Intel

Label Name

AMD

January 2022

Launch Date

February 2019

Integrated

Platform

Mobile

Iris Xe Graphics 80EU

Model Name

Radeon 540X Mobile

HD Graphics-M

Generation

Mobility Radeon

300MHz

Base Clock

980MHz

1300MHz

Boost Clock

1095MHz

Ring Bus

Bus Interface

PCIe 3.0 x8

Unknown

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.

Intel

Foundry

GlobalFoundries

10 nm

Process Size

14 nm

Generation 12.2

Architecture

GCN 4.0

Memory Specifications

System Shared

Memory Size

2GB

System Shared

Memory Type

GDDR5

System Shared

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.

64bit

SystemShared

Memory Clock

1000MHz

System Dependent

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.

32.00 GB/s

Display and Media

No outputs

Outputs

No outputs

Theoretical Performance

26.00 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.

17.52 GPixel/s

52.00 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.

35.04 GTexel/s

3.328 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.

1121 GFLOPS

416.0 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.

70.08 GFLOPS

1.631 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.

1.143 TFLOPS

Miscellaneous

640

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)

1024KB

L2 Cache

512KB

45W

TDP

50W

1.3

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

3.0

OpenCL Version

2.1

4.6

OpenGL

4.6

12 (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.

6.4

Shader Model

6.4