Intel Arc iGPU (8-Cores) vs Apple M2 GPU (8-core)

We compared two integrated laptop graphics cards: the Intel Arc iGPU (8-Cores) with 128 pipelines and 1024 shaders against the 1 year and 7 months older Apple M2 GPU (8-core) that utilizes 128 pipelines and 1024 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Review

General comparison of performance in games, applications, power efficiency, and other metrics
Gaming
Performance in DirectX, OpenCL, and Vulkan games
Workstation
Perf. in 3D modeling, video editing and rendering apps
AI/ML
Capabilities for machine learning and AI-related tasks
Energy Efficiency
Power consumption efficiency in different scenarios
NanoReview Final Score
Overall video card score

Key differences

Key distinctions and advantages of M2 GPU (8-core) over Arc iGPU (8-Cores)
Reasons to consider the Intel Arc iGPU (8-Cores)
  • 66% higher maximum theoretical performance (4.8 vs 2.9 TFLOPS)

Benchmarks

Graphics cardsโ€™ performance in recent benchmarking apps

3D Mark

Multiplatform graphics benchmark suite that directly correlates with performance in modern games
Steel Nomad Lite Score
Solar Bay - 7316
Wild Life Extreme - 5676
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 66.6 img/sec 58.7 img/sec
Face Detection 28.4 img/sec 35.2 img/sec
Horizon Detection 0.87 Gpixels/sec 1.1 Gpixels/sec
Edge Detection 1.24 Gpixels/sec 1.82 Gpixels/sec
Gaussian Blur 1.82 Gpixels/sec 1.2 Gpixels/sec
Feature Matching 0.3 Gpixels/sec 0.37 Gpixels/sec
Stereo Matching 102.4 Gpixels/sec 96 Gpixels/sec
Particle Physics 6543.8 FPS 3825.9 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

Cinebench 2024 GPU

Hardware benchmark using Maxon's Cinema 4D rendering engine
Cinebench 2024 GPU

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] โ€“ 83 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Intel Arc iGPU (8-Cores)
DateBenchmarkResult
๐Ÿ“˜ 2026-02-22 (Catt)Steel Nomad Light2669
๐Ÿ“˜ 2026-01-15 (Ak-Dev)Geekbench 6 OpenCL64108
๐Ÿ“˜ 2025-11-08 (Anuj)Geekbench 6 OpenCL35379
Apple M2 GPU (8-core)
No benchmark results yet

Artificial Intelligence Tests

Performance in machine learning and artificial intelligence tasks

GeekBench 6 ML

Tests throughput of AI operations in single, half, and quantized precision
GB6 ML Single Precision
GB6 ML Half Precision
GB6 ML Quantized
Image Classification (SP) 2540 3242
Image Segmentation (HP) 7387 4890
Image Super Resolution (Q) 4047 7149
Face Detection (HP) 8563 10340
Pose Estimation (Q) 11171 21268
Text Classification (SP) 819 2268
Machine Translation (HP) 2228 1122
Object Detection (SP) 2725 3007
Depth Estimation (Q) 7794 13941
Style Transfer (SP) 34572 35943
Framework ONNX Core ML
Backend DirectML GPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of Intel Arc iGPU (8-Cores) and Apple M2 GPU (8-core)

General

Vendor Intel Apple
Build Integrated Integrated
Released December 14, 2023 June 6, 2022
Case Laptop Laptop
Purpose Generic Professional
Segment Mid-range Mid-range
Architecture Xe LPG Apple M GPU
Rival Equivalent - Radeon 760M -
Successor - Intel Arc 140V - Apple M5 GPU (10-Core)
Recommended CPU - Intel Core Ultra 5 135H or above - Apple M2 or above
Used in CPUs - Intel Core Ultra 5 135H
- Intel Core Ultra 7 155H
- Intel Core Ultra 7 165H
- Intel Core Ultra 9 185H
- Apple M2
Laptop GPU ranking (86th and 90th place)

Graphics Processing Unit

Base Clock 300 MHz 500 MHz
Boost Clock 2200-2350 MHz (configurable) 1398 MHz
Shading Units 1024 1024
Texture Mapping Units (TMUs) 64 64
Render Output Units (ROPs) 32 32
Compute Units (Pipelines) 128 128
Ray-tracing Cores 8 -
L1 Cache 1536KB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 70-75 GPixel/s 45 GPixel/s
Texture Fill Rate 141-150 GTexel/s 89 GTexel/s
FLOPS (FP32)
4.5-4.8 TFLOPS
2.9 TFLOPS

Physical

Interface Ring Bus Custom
TGP 28 W 15 W
Manufacturing TSMC TSMC
Fabrication Process 5 nm 5 nm
Transistor Count - 11.6 billion
Max. Temperature - 94ยฐC

Memory

Memory Type System Shared System Shared
Memory Clock - 6400 MHz
Effective Memory Speed - 12800 Mbps
Bus - 128-bit
ECC - No
Memory Bandwidth

API

DirectX 12 -
Vulkan 1.3 -
OpenGL 4.6 -
OpenCL 3.0 -
Ray Tracing Yes No
DLSS No No
DisplayPort 2.1 -

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Total votes: 4

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