Home / GPU Comparison / Intel UHD Graphics 24EU (Alder Lake-N) or Intel UHD Graphics 48EU: What's better?

Intel UHD Graphics 24EU (Alder Lake-N)

vs

Intel UHD Graphics 48EU

GPU Comparison Result

Below are the results of a comparison of Intel UHD Graphics 24EU (Alder Lake-N) and Intel UHD Graphics 48EU video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel UHD Graphics 24EU (Alder Lake-N)

Newer Launch Date: January 2023 (January 2023 vs September 2020)

Intel UHD Graphics 48EU

More Shading Units: 384 (192 vs 384)

Basic

Intel

Label Name

Intel

January 2023

Launch Date

September 2020

Integrated

Platform

Integrated

Alder Lake-N GT1

Former Codename

Tiger Lake GT2

Intel 7

GPU Lithography

10 nm SuperFin

Intel UHD Graphics 24EU (Alder Lake-N)

Model Name

Intel UHD Graphics Xe G4 48EUs

Alder Lake-N

Generation

Tiger Lake

750-1200 MHz (CPU dependent)

Boost Clock

Ring Bus

Bus Interface

Ring Bus

RT Cores

Compute Units

Tensor Cores

Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.

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

Intel

10 nm

Process Size

10 nm SuperFin

Xe-LP (Generation 12.2)

Architecture

Xe-LP (Generation 12.1)

Memory Specifications

System Shared

Memory Size

System Shared

Memory Type

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.

System Shared

Memory Clock

System Shared

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.

System Dependent

Display and Media

Decode Only

AV1 Encode/Decode

Decode Only

1.4

DisplayPort Extensions

1.4

Yes

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

Yes

2.1

HDMI Version

2.0b

Yes

Intel Quick Sync Video

Yes

4096 x 2160 @ 60Hz

Max Resolution DP

7680 x 4320 @ 60Hz

Max Resolution eDP

4096 x 2304 @ 60Hz

4096 x 2160 @ 60Hz

Max Resolution HDMI

4096 x 2304 @ 60Hz

Number of Displays Supported

eDP 1.4b, DP 1.4, HDMI 2.1, MIPI-DSI 1.3

Outputs

eDP 1.4b, MIPI-DSI 2.0, DP 1.4, HDMI 2.0b

Theoretical Performance

0.288 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.

0.8832 TFLOPS

AI Features

AI Software Frameworks Supported by GPU

Intel oneAPI, oneDNN, oneMKL

Intel Deep Learning Boost on GPU

Miscellaneous

192

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.

384

1.4

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.

1.4

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

CUDA

12.1

DirectX

12.1

None

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.