Apple M4 Max GPU (32-core) vs M2 Max GPU (38-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 and 10 months older 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.
Review
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
Reasons to consider the Apple M4 Max GPU (32-core)
- Performs better (up to 32%) in 3DMark Steel Nomad Lite
- Manufactured using a more efficient 3 nm process technology
Benchmarks
Graphics cards’ performance in recent benchmarking apps3D Mark
Steel Nomad Lite Score
| Solar Bay | 50957 | 30368 |
| Wild Life Extreme | 30044 | 24948 |
GeekBench 6 OpenCL
GB6 Compute Score
| Background Blur | 174.8 img/sec | 149 img/sec |
| Face Detection | 112 img/sec | 98.1 img/sec |
| Horizon Detection | 4.19 Gpixels/sec | 3.8 Gpixels/sec |
| Edge Detection | 6.3 Gpixels/sec | 6.88 Gpixels/sec |
| Gaussian Blur | 4.69 Gpixels/sec | 4.44 Gpixels/sec |
| Feature Matching | 0.98 Gpixels/sec | 0.73 Gpixels/sec |
| Stereo Matching | 352.1 Gpixels/sec | 264.9 Gpixels/sec |
| Particle Physics | 14254.6 FPS | 11144.2 FPS |
| API | OpenCL | OpenCL |
Cinebench 2024 GPU
Cinebench 2024 GPU
Blender
Blender GPU
Artificial Intelligence Tests
Performance in machine learning and artificial intelligence tasksGeekBench 6 ML
GB6 ML Single Precision
GB6 ML Half Precision
GB6 ML Quantized
| Image Classification (SP) | 8624 | 6657 |
| Image Segmentation (HP) | 20392 | 13854 |
| Image Super Resolution (Q) | 21752 | 18642 |
| Face Detection (HP) | 34099 | 27965 |
| Pose Estimation (Q) | 77846 | 83144 |
| Text Classification (SP) | 2993 | 2377 |
| Machine Translation (HP) | 5658 | 2052 |
| Object Detection (SP) | 7933 | 6495 |
| Depth Estimation (Q) | 37622 | 31105 |
| Style Transfer (SP) | 173882 | 135686 |
| Framework | Core ML | Core ML |
| Backend | GPU | GPU |
Specifications
Technical specifications of Apple M4 Max GPU (32-core) and M2 Max GPU (38-core)General
| Vendor | Apple | Apple |
| Build | Integrated | Integrated |
| Released | October 30, 2024 | January 17, 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 3060 Laptop |
| Successor | - Apple M5 Max GPU (32-core) | - Apple M5 Max GPU (40-core) |
| Recommended CPU | - Apple M4 Max (14-Core) or above | - |
| Used in CPUs | - Apple M4 Max (14-Core) | - Apple M2 Max |
Laptop GPU ranking (18th and 40th place)
Graphics Processing Unit
| Base Clock | 500 MHz | 450 MHz |
| Boost Clock | 1578 MHz | 1398 MHz |
| Shading Units | 4096 | 4864 |
| Texture Mapping Units (TMUs) | 256 | 304 |
| Render Output Units (ROPs) | 128 | 152 |
| Compute Units (Pipelines) | 512 | 608 |
| Instructions Per Cycle | 2 IPC | 2 IPC |
Raw Performance
| Pixel Fill Rate | 202 GPixel/s | 212 GPixel/s |
| Texture Fill Rate | 404 GTexel/s | 425 GTexel/s |
FLOPS (FP32)
Physical
| Interface | Custom | Custom |
| TGP | 51 W | 70 W |
| Manufacturing | TSMC | TSMC |
| Fabrication Process | 3 nm | 5 nm |
| Transistor Count | - | 52 billion |
| Max. Temperature | 100°C | 94°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 | No |
| DLSS | No | No |
Cast your vote
Total votes: 9