GeForce RTX 4060 Laptop vs Apple M2 Max GPU (38-core)

We performed a head-to-head comparison of the GeForce RTX 4060 Mobile 8 GB with 24 pipelines and 3072 shaders against the Apple M2 Max GPU (38-core) that utilizes 608 pipelines and 4864 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Some GPUs come in different configurations. For greater precision, pick a specific config below
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 M2 Max GPU (38-core) over RTX 4060 Mobile
Reasons to consider the GeForce RTX 4060 Laptop
  • Includes 8 GB of dedicated GDDR6 memory
  • Supports Nvidia DLSS 3 technology
Reasons to consider the Apple M2 Max GPU (38-core)
  • Has 60% higher memory bandwidth: 409.6 vs 256 GB/s
  • Has 58% more shading units (4864 vs 3072)

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 High

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 30368
Port Royal 5819 -
Fire Strike 26481 -
Wild Life Extreme 19820 24948
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 149 img/sec
Face Detection 103.7 img/sec 98.1 img/sec
Horizon Detection 3.83 Gpixels/sec 3.8 Gpixels/sec
Edge Detection 4.93 Gpixels/sec 6.88 Gpixels/sec
Gaussian Blur 4.63 Gpixels/sec 4.44 Gpixels/sec
Feature Matching 1.27 Gpixels/sec 0.73 Gpixels/sec
Stereo Matching 430.4 Gpixels/sec 264.9 Gpixels/sec
Particle Physics 13519.5 FPS 11144.2 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
Sources: Blender [9], [10] – 4269 & 299 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 M2 Max GPU (38-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 6657
Image Segmentation (HP) 19041 13854
Image Super Resolution (Q) 20913 18642
Face Detection (HP) 35464 27965
Pose Estimation (Q) 67110 83144
Text Classification (SP) 3086 2377
Machine Translation (HP) 4740 2052
Object Detection (SP) 8644 6495
Depth Estimation (Q) 32456 31105
Style Transfer (SP) 142039 135686
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 M2 Max GPU (38-core)

General

Vendor Nvidia Apple
Build Discrete Integrated
Released February 22, 2023 January 17, 2023
Case Laptop Laptop
Purpose Gaming Professional
Segment Mid-range High-end
Architecture Ada Lovelace Apple M GPU
GPU Codename AD107 (GN21-X4) -
Rival Equivalent - - GeForce RTX 3060 Laptop
Successor - GeForce RTX 5060 Laptop - Apple M5 Max GPU (40-core)
Recommended CPU - Intel Core Ultra 7 155H or above -
Used in CPUs - - Apple M2 Max
Laptop GPU ranking (41st and 40th place)

Graphics Processing Unit

Base Clock 1140-2295 MHz (configurable) 450 MHz
Boost Clock 1470-2370 MHz (configurable) 1398 MHz
Shading Units 3072 4864
Texture Mapping Units (TMUs) 96 304
Render Output Units (ROPs) 48 152
Compute Units (Pipelines) 24 608
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 212 GPixel/s
Texture Fill Rate 141-228 GTexel/s 425 GTexel/s
FLOPS (FP32)
9-14.6 TFLOPS
13.6 TFLOPS

Physical

Interface PCIe 4.0 x16 Custom
TGP 35-140 W (configurable) 70 W
Manufacturing TSMC TSMC
Fabrication Process 5 nm 5 nm
Die Size 156 mm² -
Transistor Count 18.9 billion 52 billion
Transistor Density 121.15 MTr/mm² -
Max. Temperature - 94°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 512-bit
ECC No No
Memory Bandwidth
256 GB/s
409.6 GB/s

API

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

Cast your vote

Choose between two graphics cards
12 (57.1%)
9 (42.9%)
Total votes: 21

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