Apple M2 GPU (8-core) vs M1 GPU (8-core)
We compared two integrated laptop professional GPUs: the Apple M2 GPU (8-core) with 128 pipelines and 1024 shaders against the 1 year and 7 months older M1 GPU (8-core) that utilizes 128 pipelines and 1024 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 M2 GPU (8-core)
- Performs slightly better (up to 17%) in 3DMark Steel Nomad Lite
- Has 50% higher memory bandwidth: 102.4 vs 68.2 GB/s
- Achieves 43% more points in the GeekBench 6 Compute test (29K vs 20K)
Benchmarks
Graphics cards’ performance in recent benchmarking apps3D Mark
Steel Nomad Lite Score
| Solar Bay | 7316 | 6317 |
| Wild Life Extreme | 5676 | 4966 |
GeekBench 6 OpenCL
GB6 Compute Score
| Background Blur | 58.7 img/sec | 38.3 img/sec |
| Face Detection | 35.2 img/sec | 23 img/sec |
| Horizon Detection | 1.1 Gpixels/sec | 0.76 Gpixels/sec |
| Edge Detection | 1.82 Gpixels/sec | 1.33 Gpixels/sec |
| Gaussian Blur | 1.2 Gpixels/sec | 0.87 Gpixels/sec |
| Feature Matching | 0.37 Gpixels/sec | 0.27 Gpixels/sec |
| Stereo Matching | 96 Gpixels/sec | 69.9 Gpixels/sec |
| Particle Physics | 3825.9 FPS | 2766.4 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) | 3242 | 1400 |
| Image Segmentation (HP) | 4890 | 2280 |
| Image Super Resolution (Q) | 7149 | 3402 |
| Face Detection (HP) | 10340 | 5638 |
| Pose Estimation (Q) | 21268 | 12027 |
| Text Classification (SP) | 2268 | 2324 |
| Machine Translation (HP) | 1122 | 4296 |
| Object Detection (SP) | 3007 | 1530 |
| Depth Estimation (Q) | 13941 | 7675 |
| Style Transfer (SP) | 35943 | 17293 |
| Framework | Core ML | Core ML |
| Backend | GPU | CPU |
Specifications
Technical specifications of Apple M2 GPU (8-core) and M1 GPU (8-core)General
| Vendor | Apple | Apple |
| Build | Integrated | Integrated |
| Released | June 6, 2022 | November 20, 2020 |
| Case | Laptop | Laptop |
| Purpose | Professional | Professional |
| Segment | Mid-range | Mid-range |
| Architecture | Apple M GPU | Apple M GPU |
| Rival Equivalent | - | - GeForce GTX 1050 Ti Mobile |
| Successor | - Apple M5 GPU (10-Core) | - Apple M5 GPU (10-Core) |
| Recommended CPU | - Apple M2 or above | - Apple M1 or above |
| Used in CPUs | - Apple M2 | - Apple M1 |
Laptop GPU ranking (89th and 104th place)
Graphics Processing Unit
| Base Clock | 500 MHz | 450 MHz |
| Boost Clock | 1398 MHz | 1278 MHz |
| Shading Units | 1024 | 1024 |
| Texture Mapping Units (TMUs) | 64 | 64 |
| Render Output Units (ROPs) | 32 | 32 |
| Compute Units (Pipelines) | 128 | 128 |
| Ray-tracing Cores | - | No |
| Instructions Per Cycle | 2 IPC | 2 IPC |
Raw Performance
| Pixel Fill Rate | 45 GPixel/s | 41 GPixel/s |
| Texture Fill Rate | 89 GTexel/s | 82 GTexel/s |
FLOPS (FP32)
Physical
| Interface | Custom | Custom |
| TGP | 15 W | 15 W |
| Manufacturing | TSMC | Intel |
| Fabrication Process | 5 nm | 5 nm |
| Transistor Count | 11.6 billion | 11.6 billion |
| Max. Temperature | 94°C | 94°C |
Memory
| Memory Type | System Shared | System Shared |
| Memory Clock | 6400 MHz | 4266 MHz |
| Effective Memory Speed | 12800 Mbps | 8532 Mbps |
| Bus | 128-bit | 128-bit |
| ECC | No | No |
Memory Bandwidth
API
| Ray Tracing | No | No |
| DLSS | No | No |
Cast your vote
Total votes: 17