Apple M2 Pro GPU (19-core) vs M1 Max GPU (32-core)
We compared two integrated laptop professional GPUs: the Apple M2 Pro GPU (19-core) with 304 pipelines and 2432 shaders against the 1 year and 3 months older M1 Max GPU (32-core) that utilizes 512 pipelines and 4096 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 M1 Max GPU (32-core)
- Performs significantly better (up to 45%) in 3DMark Steel Nomad Lite
- 56% higher maximum theoretical performance (10.6 vs 6.8 TFLOPS)
- Has 2x higher memory bandwidth: 409.6 vs 204.8 GB/s
- Achieves 46% more points in the GeekBench 6 Compute test (71K vs 49K)
- Has 68% more shading units (4096 vs 2432)
Benchmarks
Graphics cards’ performance in recent benchmarking apps3D Mark
Steel Nomad Lite Score
| Solar Bay | 16218 | 22586 |
| Wild Life Extreme | 12726 | 19880 |
GeekBench 6 OpenCL
GB6 Compute Score
| Background Blur | 89.7 img/sec | 120.7 img/sec |
| Face Detection | 58 img/sec | 78.9 img/sec |
| Horizon Detection | 1.94 Gpixels/sec | 3.18 Gpixels/sec |
| Edge Detection | 3.26 Gpixels/sec | 6.15 Gpixels/sec |
| Gaussian Blur | 2.19 Gpixels/sec | 3.44 Gpixels/sec |
| Feature Matching | 0.55 Gpixels/sec | 0.62 Gpixels/sec |
| Stereo Matching | 163 Gpixels/sec | 229.8 Gpixels/sec |
| Particle Physics | 6139.2 FPS | 8822.9 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) | 5279 | 5466 |
| Image Segmentation (HP) | 8089 | 12415 |
| Image Super Resolution (Q) | 15007 | 15930 |
| Face Detection (HP) | 19212 | 23179 |
| Pose Estimation (Q) | 44046 | 58520 |
| Text Classification (SP) | 2280 | 2299 |
| Machine Translation (HP) | 1972 | 1713 |
| Object Detection (SP) | 4941 | 5388 |
| Depth Estimation (Q) | 22209 | 26458 |
| Style Transfer (SP) | 79898 | 98278 |
| Framework | Core ML | Core ML |
| Backend | GPU | GPU |
Specifications
Technical specifications of Apple M2 Pro GPU (19-core) and M1 Max GPU (32-core)General
| Vendor | Apple | Apple |
| Build | Integrated | Integrated |
| Released | January 17, 2023 | October 18, 2021 |
| Case | Laptop | Laptop |
| Purpose | Professional | Professional |
| Segment | High-end | High-end |
| Architecture | Apple M GPU | Apple M GPU |
| Rival Equivalent | - GeForce RTX 3050 Laptop | - GeForce RTX 3060 Laptop |
| Successor | - Apple M5 Pro GPU (20-core) | - Apple M5 Max GPU (40-core) |
| Recommended CPU | - Apple M2 Pro or above | - Apple M1 Max or above |
| Used in CPUs | - Apple M2 Pro | - Apple M1 Max |
Laptop GPU ranking (70th and 54th place)
Graphics Processing Unit
| Base Clock | 450 MHz | 450 MHz |
| Boost Clock | 1398 MHz | 1296 MHz |
| Shading Units | 2432 | 4096 |
| Texture Mapping Units (TMUs) | 152 | 256 |
| Render Output Units (ROPs) | 76 | 128 |
| Compute Units (Pipelines) | 304 | 512 |
| Ray-tracing Cores | - | No |
| Instructions Per Cycle | 2 IPC | 2 IPC |
Raw Performance
| Pixel Fill Rate | 106 GPixel/s | 166 GPixel/s |
| Texture Fill Rate | 212 GTexel/s | 332 GTexel/s |
FLOPS (FP32)
Physical
| Interface | Custom | Custom |
| TGP | 35 W | - |
| Manufacturing | TSMC | TSMC |
| Fabrication Process | 5 nm | 5 nm |
| Transistor Count | 26 billion | 46.4 billion |
| Max. Temperature | 94°C | 94°C |
Memory
| Memory Type | System Shared | System Shared |
| Memory Clock | 6400 MHz | 6400 MHz |
| Effective Memory Speed | 12800 Mbps | 12800 Mbps |
| Bus | 256-bit | 512-bit |
| ECC | No | No |
Memory Bandwidth
API
| Ray Tracing | No | No |
| DLSS | No | No |
Cast your vote
Total votes: 3