Home / Intel Arc Graphics 112EU Mobile: Performance and Specs

Intel Arc Graphics 112EU Mobile

Name: Intel Arc Graphics 112EU Mobile
Brand: Intel

Intel Arc Graphics 112EU Mobile is a Integrated video accelerator from Intel. It began to be released in December 2023. The GPU has a boost frequency of 2200 MHz. It also has a memory frequency of System Shared. Its characteristics, as well as benchmark results, are presented in more detail below.

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Basic

Label Name

Intel

Platform

Integrated

Launch Date

December 2023

Former Codename

Meteor Lake GT1

GPU Lithography

TSMC N5

Model Name

Intel Arc Graphics 112EU Mobile

Generation

Meteor Lake

Base Clock

300 MHz

Boost Clock

2200 MHz

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.

896

Compute Units

112

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.

Bus Interface

Integrated (IGP)

Foundry

TSMC

Process Size

5 nm

Architecture

Xe-LPG

Used in CPUs

- Intel Core Ultra 5 125H
- Intel Core Ultra 5 125HL
- Intel Core Ultra 5 135H

Memory Specifications

Memory Size

System Shared

Memory Type

DDR5 / LPDDR5X (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 Dependent

Memory Clock

System Shared

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

AV1 Encode/Decode

Yes

DisplayPort Extensions

2.1 UHBR20

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

Yes

HDMI Version

2.1 FRL

Intel Quick Sync Video

Yes

Max Resolution DP

7680 x 4320 @ 60Hz

Max Resolution eDP

3840 x 2400 @ 120Hz

Max Resolution HDMI

7680 x 4320 @ 60Hz

Number of Displays Supported

Outputs

eDP 1.4b, DP 2.1 UHBR20, HDMI 2.1 FRL

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.

52.8 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.

123.2 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.

7.885 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.

3.942 TFlops

AI Features

AI Software Frameworks Supported by GPU

OpenVINO, WindowsML, DirectML, ONNX RT, WebGPU

GPU Peak TOPS (Int8)

18 TOPS

Intel Deep Learning Boost on GPU

Yes

Miscellaneous

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

OpenCL Version

3.0

OpenGL

4.6

CUDA

DirectX

12.2

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

6.6