Intel Arc 140T vs Apple M5 GPU (10-Core)

We compared two integrated laptop graphics cards: the Intel Arc 140T with 8 pipelines and 1024 shaders against the 10 months newer Apple M5 GPU (10-Core) that utilizes 160 pipelines and 1280 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 M5 GPU (10-Core) over Arc 140T
Reasons to consider the Intel Arc 140T
  • 17% higher maximum theoretical performance (4.8 vs 4.1 TFLOPS)
Reasons to consider the Apple M5 GPU (10-Core)
  • Performs significantly better (up to 67%) in 3DMark Steel Nomad Lite
  • Manufactured using a more efficient 3 nm process technology
  • Achieves 78% more points in the GeekBench 6 Compute test (75K vs 42K)
  • Has 25% more shading units (1280 vs 1024)

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
53
28
21
12
-
The Witcher 3
42
33
23
12
-
Counter-Strike 2
48
33
22
10
-
Far Cry 6
37
35
24
11
-
Hogwarts Legacy
19
14
-
-
-
CoD: Modern Warfare III
31
29
21
11
-
Ghost of Tsushima
21
18
13
-
-
Cyberpunk 2077
23
19
11
-
-
Shadow of the Tomb Raider
38
36
22
12
-
Average FPS by Resolution
1080p High 35 -
1080p Ultra 27 -
1440p Ultra 18 -
4K Ultra 10 -
Margin of Error Low Low

Benchmarks

Graphics cards’ performance in recent benchmarking apps

3D Mark

Multiplatform graphics benchmark suite that directly correlates with performance in modern games
Steel Nomad Lite Score
3199
5338
Time Spy 3769 -
Solar Bay 14421 24536
Port Royal 1966 -
Fire Strike 8568 -
Wild Life Extreme 6618 12278
Night Raid 38478 -
Sources: 3DMark [1], [2]

GeekBench 6 GPU Compute

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
42502
75777
Background Blur 90 img/sec 155.7 img/sec
Face Detection 39.5 img/sec 178.1 img/sec
Horizon Detection 1.21 Gpixels/sec 2.22 Gpixels/sec
Edge Detection 1.52 Gpixels/sec 2.87 Gpixels/sec
Gaussian Blur 2.41 Gpixels/sec 5.8 Gpixels/sec
Feature Matching 0.51 Gpixels/sec 0.95 Gpixels/sec
Stereo Matching 161.8 Gpixels/sec 190.7 Gpixels/sec
Particle Physics 9155.9 FPS 6579.1 FPS
API OpenCL Metal
Sources: Geekbench [3], [4]

Cinebench 2024 GPU

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

Passmark Graphics

Videocard test that focuses on compute shaders, multi-texturing, tessellation, and other features
G3D Mark Score
G2D Mark 835 -
DirectX 11 47 FPS -
DirectX 12 30 FPS -
GPU Compute 2906 Ops/s -
Sources: PassMark [5]2088 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
765.53
2022.33
Sources: Blender [9], [10]41 & 135 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Intel Arc 140T
DateBenchmarkResult
📘 2026-04-16 -> Lello75GeekBench42034
📘 2025-09-19 (JacoIsHere)GeekBench42182
Apple M5 GPU (10-Core)
DateBenchmarkResult
📘 2026-01-03 -> RennsportGeekBench48688

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
8764
13289
GB6 ML Half Precision
12046
24800
GB6 ML Quantized
5815
23572
Image Classification (SP) 5224 6348
Image Segmentation (HP) 10501 16813
Image Super Resolution (Q) 6436 30322
Face Detection (HP) 15277 34387
Pose Estimation (Q) 19008 111591
Text Classification (SP) 1566 2319
Machine Translation (HP) 2969 5555
Object Detection (SP) 6172 6450
Depth Estimation (Q) 14526 53195
Style Transfer (SP) 62049 82314
Framework ONNX Core ML
Backend DirectML GPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of Intel Arc 140T and Apple M5 GPU (10-Core)

General

Vendor Intel Apple
Build Integrated Integrated
Released January 6, 2025 October 15, 2025
Case Laptop Laptop
Purpose Generic Professional
Segment Entry-level Mid-range
Architecture Xe+ Apple M GPU
GPU Codename Arrow Lake iGPU Custom
Rival Equivalent - Radeon 860M - Adreno X2-90
Recommended CPU - Intel Core Ultra 5 235H or above - Apple M5 (10-Core) or above
Used in CPUs - Intel Core Ultra 5 235H
- Intel Core Ultra 7 255H
- Intel Core Ultra 7 265H
- Intel Core Ultra 9 285H
- Apple M5 (10-Core)
Laptop GPU ranking (93rd and 43rd place)

Graphics Processing Unit

Base Clock 300 MHz -
Boost Clock 2250-2350 MHz (configurable) 1620 MHz
Shading Units 1024 1280
Texture Mapping Units (TMUs) 64 80
Render Output Units (ROPs) 32 40
Compute Units (Pipelines) 8 160
Tensor Cores 128 -
Ray-tracing Cores 8 -
L2 Cache 4MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 72-75 GPixel/s 65 GPixel/s
Texture Fill Rate 144-150 GTexel/s 130 GTexel/s
FLOPS (FP32)
Arc 140T +17%
4.6-4.8 TFLOPS
4.1 TFLOPS

Physical

Interface PCIe 4.0 x8 Custom
TGP 35 W -
Manufacturing TSMC TSMC
Fabrication Process 5 nm 3 nm
Transistor Count - 28 billion
Max. Temperature 110°C 100°C

Memory

Memory Type System Shared System Shared
Memory Clock - 9600 MHz
Bus - 128-bit
ECC - No
Memory Bandwidth
n/a
153 GB/s

API

DirectX 12.2 -
Vulkan 1.3 -
OpenGL 4.6 -
OpenCL 3.0 -
CUDA No -
Ray Tracing Yes Yes
DLSS No No
DisplayPort 2.1 -

Cast your vote

Choose between two graphics cards
2 (40%)
3 (60%)
Total votes: 5

User opinions

You can share your opinion or ask a question in the comments below
🌐 Register your profile and become part of NanoReview community!