Home / GPU Comparison / AMD Radeon 680M or Intel Iris Xe MAX Graphics: What's better?

AMD Radeon 680M

vs

Intel Iris Xe MAX Graphics

GPU Comparison Result

Below are the results of a comparison of AMD Radeon 680M and Intel Iris Xe MAX Graphics video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon 680M

Higher Boost Clock: 2200MHz (2200MHz vs 1650MHz)
Newer Launch Date: January 2022 (January 2022 vs October 2020)

Intel Iris Xe MAX Graphics

Larger Memory Size: 4GB (System Shared vs 4GB)
Higher Bandwidth: 68.26 GB/s (System Dependent vs 68.26 GB/s)

Basic

AMD

Label Name

Intel

January 2022

Launch Date

October 2020

Integrated

Platform

Mobile

Radeon 680M

Model Name

Iris Xe MAX Graphics

Rembrandt

Generation

HD Graphics-M

2000MHz

Base Clock

300MHz

2200MHz

Boost Clock

1650MHz

PCIe 4.0 x8

Bus Interface

PCIe 4.0 x8

13,100 million

Transistors

Unknown

RT Cores

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.

TSMC

Foundry

Intel

6 nm

Process Size

10 nm

RDNA 2.0

Architecture

Generation 12.1

Memory Specifications

System Shared

Memory Size

4GB

System Shared

Memory Type

LPDDR4X

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.

128bit

SystemShared

Memory Clock

2133MHz

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.

68.26 GB/s

Display and Media

Portable Device Dependent

Outputs

No outputs

Theoretical Performance

70.40 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.

39.60 GPixel/s

105.6 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.

79.20 GTexel/s

6.758 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.

5.069 TFLOPS

211.2 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.

633.6 GFLOPS

3.379 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.

2.585 TFLOPS

Miscellaneous

768

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.

768

128 KB per Array

L1 Cache

2MB

L2 Cache

1024KB

System Dependent

TDP

25W

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.

1.3

2.0

OpenCL Version

3.0

4.6

OpenGL

4.6

12 Ultimate (12_2)

DirectX

12 (12_1)

None

Power Connectors

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.

6.7

Shader Model

6.4