GeForce RTX 4060 Laptop vs Apple M3 Pro GPU (18-core)

We performed a head-to-head comparison of the GeForce RTX 4060 Mobile 8 GB with 24 pipelines and 3072 shaders against the 8 months newer Apple M3 Pro GPU (18-core) that utilizes 288 pipelines and 2304 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

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TGP / Version
-

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 M3 Pro GPU (18-core) over RTX 4060 Mobile
Reasons to consider the GeForce RTX 4060 Laptop
  • Performs significantly better (up to 67%) in 3DMark Steel Nomad Lite
  • Includes 8 GB of dedicated GDDR6 memory
  • 2.3x higher maximum theoretical performance (14.6 vs 6.4 TFLOPS)
  • Supports Nvidia DLSS 3 technology
  • Achieves 2.3x more points in the GeekBench 6 Compute test (97K vs 43K)
  • Has 67% higher memory bandwidth: 256 vs 153.6 GB/s
  • Has 33% more shading units (3072 vs 2304)
Reasons to consider the Apple M3 Pro GPU (18-core)
  • Manufactured using a more efficient 3 nm process technology

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
120
77
66
44
-
The Witcher 3
141
112
79
42
-
Counter-Strike 2
205
153
110
54
-
Far Cry 6
103
92
75
43
-
Hogwarts Legacy
74
62
45
25
-
CoD: Modern Warfare III
95
85
59
37
-
Ghost of Tsushima
74
60
42
23
-
Cyberpunk 2077
82
72
42
21
-
Shadow of the Tomb Raider
127
116
83
43
-
Average FPS by Resolution
1080p High 113 -
1080p Ultra 92 -
1440p Ultra 67 -
4K Ultra 37 -
Margin of Error Low Medium

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
Time Spy 10397 -
Solar Bay 45002 22637
Port Royal 5819 -
Fire Strike 26481 -
Wild Life Extreme 19820 14021
Night Raid 98330 -
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 142.7 img/sec 82.1 img/sec
Face Detection 103.7 img/sec 53.6 img/sec
Horizon Detection 3.83 Gpixels/sec 1.82 Gpixels/sec
Edge Detection 4.93 Gpixels/sec 2.59 Gpixels/sec
Gaussian Blur 4.63 Gpixels/sec 1.84 Gpixels/sec
Feature Matching 1.27 Gpixels/sec 0.48 Gpixels/sec
Stereo Matching 430.4 Gpixels/sec 148.6 Gpixels/sec
Particle Physics 13519.5 FPS 4893.9 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 731 -
DirectX 11 155 FPS -
DirectX 12 72 FPS -
GPU Compute 6789 Ops/s -
Sources: PassMark [5] – 22366 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
3293.54
Sources: Blender [9], [10] – 4321 & 240 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
GeForce RTX 4060 Laptop
DateBenchmarkResult
📘 2026-09-04 (Viru)Geekbench 6 OpenCL115610
📘 2026-09-04 (Viru)Cinebench 202410216
📘 2026-02-21 (Бенкдикт)Geekbench 6 OpenCL101184
📘 2025-12-18 (AmirtheX)Geekbench 6 OpenCL107583
📘 2025-11-17 (kritan)Cinebench 202410306
Apple M3 Pro GPU (18-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) 7421 5578
Image Segmentation (HP) 19041 9924
Image Super Resolution (Q) 20913 13323
Face Detection (HP) 35464 19900
Pose Estimation (Q) 67110 35730
Text Classification (SP) 3086 2904
Machine Translation (HP) 4740 4985
Object Detection (SP) 8644 5496
Depth Estimation (Q) 32456 23344
Style Transfer (SP) 142039 78342
Framework ONNX Core ML
Backend DirectML GPU
Sources: Geekbench [9], [10]
Results were compared using different ML frameworks

Specifications

Technical specifications of GeForce RTX 4060 Laptop and Apple M3 Pro GPU (18-core)

General

Vendor Nvidia Apple
Build Discrete Integrated
Released February 22, 2023 October 31, 2023
Case Laptop Laptop
Purpose Gaming Professional
Segment Mid-range Mid-range
Architecture Ada Lovelace Apple M GPU
GPU Codename AD107 (GN21-X4) Custom
Rival Equivalent - - GeForce RTX 4060 Laptop
Successor - GeForce RTX 5060 Laptop - Apple M5 Pro GPU (20-core)
Recommended CPU - Intel Core Ultra 7 155H or above - Apple M3 Pro or above
Used in CPUs - - Apple M3 Pro
Laptop GPU ranking (43rd and 61st place)

Graphics Processing Unit

Base Clock 1140-2295 MHz (configurable) 500 MHz
Boost Clock 1470-2370 MHz (configurable) 1380 MHz
Shading Units 3072 2304
Texture Mapping Units (TMUs) 96 144
Render Output Units (ROPs) 48 72
Compute Units (Pipelines) 24 288
Tensor Cores 96 -
Ray-tracing Cores 24 -
L1 Cache 128KB per cluster -
L2 Cache 32MB shared -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 71-114 GPixel/s 99 GPixel/s
Texture Fill Rate 141-228 GTexel/s 199 GTexel/s
FLOPS (FP32)
9-14.6 TFLOPS

Physical

Interface PCIe 4.0 x16 Custom
TGP 35-140 W (configurable) 30 W
Manufacturing TSMC TSMC
Fabrication Process 5 nm 3 nm
Die Size 156 mm² -
Transistor Count 18.9 billion 25.2 billion
Transistor Density 121.15 MTr/mm² -
Max. Temperature - 100°C

Memory

Memory Type GDDR6 System Shared
Memory Size 8 GB -
Memory Clock 2000 MHz 6400 MHz
Effective Memory Speed 16000 Mbps 12800 Mbps
Bus 128-bit 192-bit
ECC No No
Memory Bandwidth
256 GB/s

API

DirectX 12 -
Vulkan 1.3 -
OpenGL 4.6 -
OpenCL 3.0 -
CUDA 8.9 -
Ray Tracing Yes Yes
DLSS DLSS 3 No
DisplayPort 1.4a -

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82 (69.5%)
36 (30.5%)
Total votes: 118

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