Intel Arc 140T vs Apple M4 Pro GPU (16-core)

We compared two integrated laptop graphics cards: the Intel Arc 140T with 8 pipelines and 1024 shaders against the Apple M4 Pro GPU (16-core) that utilizes 256 pipelines and 2048 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 M4 Pro GPU (16-core) over Arc 140T
Reasons to consider the Apple M4 Pro GPU (16-core)
  • Performs significantly better (up to 2.2x) in 3DMark Steel Nomad Lite
  • Manufactured using a more efficient 3 nm process technology
  • 35% higher maximum theoretical performance (6.5 vs 4.8 TFLOPS)
  • Achieves 44% more points in the GeekBench 6 Compute test (61K vs 42K)
  • Has 2x more shading units (2048 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
Time Spy 3769 -
Solar Bay 14421 28734
Port Royal 1966 -
Fire Strike 8568 -
Wild Life Extreme 6618 16471
Night Raid 38478 -
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
42502
Background Blur 90 img/sec 106 img/sec
Face Detection 39.5 img/sec 73.1 img/sec
Horizon Detection 1.21 Gpixels/sec 2.59 Gpixels/sec
Edge Detection 1.52 Gpixels/sec 3.8 Gpixels/sec
Gaussian Blur 2.41 Gpixels/sec 2.4 Gpixels/sec
Feature Matching 0.51 Gpixels/sec 0.73 Gpixels/sec
Stereo Matching 161.8 Gpixels/sec 198.6 Gpixels/sec
Particle Physics 9155.9 FPS 8166.3 FPS
API OpenCL OpenCL
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 833 -
DirectX 11 47 FPS -
DirectX 12 30 FPS -
GPU Compute 2892 Ops/s -
Sources: PassMark [5] – 2205 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
765.53
2360.51
Sources: Blender [9], [10] – 41 & 289 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Intel Arc 140T
DateBenchmarkResult
📘 2026-04-16 -> Lello75Geekbench 6 OpenCL42034
📘 2025-09-19 (JacoIsHere)Geekbench 6 OpenCL42182
Apple M4 Pro GPU (16-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
8764
GB6 ML Half Precision
12046
GB6 ML Quantized
5815
17506
Image Classification (SP) 5224 7548
Image Segmentation (HP) 10501 15108
Image Super Resolution (Q) 6436 20789
Face Detection (HP) 15277 28665
Pose Estimation (Q) 19008 57124
Text Classification (SP) 1566 2888
Machine Translation (HP) 2969 6086
Object Detection (SP) 6172 6804
Depth Estimation (Q) 14526 32732
Style Transfer (SP) 62049 123465
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 M4 Pro GPU (16-core)

General

Vendor Intel Apple
Build Integrated Integrated
Released January 6, 2025 October 29, 2024
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 - GeForce RTX 4060 Laptop
Successor - - Apple M5 Pro GPU (16-core)
Recommended CPU - Intel Core Ultra 5 235H or above - Apple M4 Pro (12-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 M4 Pro (12-Core)
Laptop GPU ranking (94th and 45th place)

Graphics Processing Unit

Base Clock 300 MHz 500 MHz
Boost Clock 2250-2350 MHz (configurable) 1578 MHz
Shading Units 1024 2048
Texture Mapping Units (TMUs) 64 128
Render Output Units (ROPs) 32 64
Compute Units (Pipelines) 8 256
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 101 GPixel/s
Texture Fill Rate 144-150 GTexel/s 202 GTexel/s
FLOPS (FP32)
4.6-4.8 TFLOPS
6.5 TFLOPS

Physical

Interface PCIe 4.0 x8 Custom
TGP 35 W 26 W
Manufacturing TSMC TSMC
Fabrication Process 5 nm 3 nm
Max. Temperature 110°C 100°C

Memory

Memory Type System Shared System Shared
Memory Clock - 8533 MHz
Effective Memory Speed - 15000 Mbps
Bus - 192-bit
ECC - No
Memory Bandwidth

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
1 (14.3%)
6 (85.7%)
Total votes: 7

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