Apple M4 Max GPU (32-core) vs M3 Max GPU (40-core)

We compared two integrated laptop professional GPUs: the Apple M4 Max GPU (32-core) with 512 pipelines and 4096 shaders against the 1 year older M3 Max GPU (40-core) that utilizes 640 pipelines and 5120 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
DeviceFacts Final Score
Overall video card score

Key differences

Key distinctions and advantages of M3 Max GPU (40-core) over M4 Max GPU (32-core)
Reasons to consider the Apple M3 Max GPU (40-core)
  • Has 25% more shading units (5120 vs 4096)

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
Solar Bay 50957 49656
Wild Life Extreme 30044 30893
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 174.8 img/sec 157.6 img/sec
Face Detection 112 img/sec 100.9 img/sec
Horizon Detection 4.19 Gpixels/sec 3.99 Gpixels/sec
Edge Detection 6.3 Gpixels/sec 6.04 Gpixels/sec
Gaussian Blur 4.69 Gpixels/sec 5 Gpixels/sec
Feature Matching 0.98 Gpixels/sec 0.84 Gpixels/sec
Stereo Matching 352.1 Gpixels/sec 363.8 Gpixels/sec
Particle Physics 14254.6 FPS 12226.9 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], [10] – 206 & 446 samples

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) 8624 8685
Image Segmentation (HP) 20392 20739
Image Super Resolution (Q) 21752 22775
Face Detection (HP) 34099 37676
Pose Estimation (Q) 77846 91609
Text Classification (SP) 2993 2909
Machine Translation (HP) 5658 5274
Object Detection (SP) 7933 7480
Depth Estimation (Q) 37622 38212
Style Transfer (SP) 173882 190681
Framework Core ML Core ML
Backend GPU GPU
Sources: Geekbench [9], [10]

Specifications

Technical specifications of Apple M4 Max GPU (32-core) and M3 Max GPU (40-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released October 30, 2024 October 31, 2023
Case Laptop Laptop
Purpose Professional Professional
Segment Mid-range High-end
Architecture Apple M GPU Apple M GPU
GPU Codename Custom -
Rival Equivalent - GeForce RTX 4070 Laptop - GeForce RTX 4070 Laptop
Successor - Apple M5 Max GPU (32-core) - Apple M5 Max GPU (40-core)
Recommended CPU - Apple M4 Max (14-Core) or above - Apple M3 Max or above
Used in CPUs - Apple M4 Max (14-Core) - Apple M3 Max
Laptop GPU ranking (19th and 21st place)

Graphics Processing Unit

Base Clock 500 MHz 500 MHz
Boost Clock 1578 MHz 1380 MHz
Shading Units 4096 5120
Texture Mapping Units (TMUs) 256 320
Render Output Units (ROPs) 128 160
Compute Units (Pipelines) 512 640
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 202 GPixel/s 221 GPixel/s
Texture Fill Rate 404 GTexel/s 442 GTexel/s
FLOPS (FP32)
12.9 TFLOPS
14.1 TFLOPS

Physical

Interface Custom Custom
TGP 51 W 60 W
Manufacturing TSMC TSMC
Fabrication Process 3 nm 3 nm
Transistor Count - 56 billion
Max. Temperature 100°C 100°C

Memory

Memory Type System Shared System Shared
Memory Clock 8533 MHz 6400 MHz
Effective Memory Speed - 12800 Mbps
Bus 384-bit 512-bit
ECC No No
Memory Bandwidth

API

Ray Tracing Yes Yes
DLSS No No

Cast your vote

Choose between two graphics cards
14 (58.3%)
10 (41.7%)
Total votes: 24

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