Apple M5 GPU (10-Core) vs M4 Pro GPU (16-core)
VS
Apple M5 GPU (10-Core)
Custom
Apple M4 Pro GPU (16-core)
Custom
We compared two integrated laptop professional GPUs: the Apple M5 GPU (10-Core) with 160 pipelines and 1280 shaders against the 1 year older M4 Pro GPU (16-core) that utilizes 256 pipelines and 2048 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 M5 GPU (10-Core)
- Achieves 24% more points in the GeekBench 6 Compute test (75K vs 61K)
Reasons to consider the Apple M4 Pro GPU (16-core)
- Performs better (up to 31%) in 3DMark Steel Nomad Lite
- 59% higher maximum theoretical performance (6.5 vs 4.1 TFLOPS)
- Has 78% higher memory bandwidth: 273 vs 153 GB/s
- Has 60% more shading units (2048 vs 1280)
Benchmarks
Graphics cards’ performance in recent benchmarking apps3D Mark
Steel Nomad Lite Score
| Solar Bay | 24536 | 28734 |
| Wild Life Extreme | 12278 | 16471 |
GeekBench 6 GPU Compute
GB6 Compute Score
| Background Blur | 155.7 img/sec | 106 img/sec |
| Face Detection | 178.1 img/sec | 73.1 img/sec |
| Horizon Detection | 2.22 Gpixels/sec | 2.59 Gpixels/sec |
| Edge Detection | 2.87 Gpixels/sec | 3.8 Gpixels/sec |
| Gaussian Blur | 5.8 Gpixels/sec | 2.4 Gpixels/sec |
| Feature Matching | 0.95 Gpixels/sec | 0.73 Gpixels/sec |
| Stereo Matching | 190.7 Gpixels/sec | 198.6 Gpixels/sec |
| Particle Physics | 6579.1 FPS | 8166.3 FPS |
| API | Metal | OpenCL |
Cinebench 2024 GPU
Cinebench 2024 GPU
Blender
Blender GPU
Recent User Tests
Apple M5 GPU (10-Core)
| Date | Benchmark | Result |
|---|---|---|
| 📘 2026-01-03 -> Rennsport | Geekbench 6 OpenCL | 48688 |
Apple M4 Pro GPU (16-core)
No benchmark results yet
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) | 6348 | 7548 |
| Image Segmentation (HP) | 16813 | 15108 |
| Image Super Resolution (Q) | 30322 | 20789 |
| Face Detection (HP) | 34387 | 28665 |
| Pose Estimation (Q) | 111591 | 57124 |
| Text Classification (SP) | 2319 | 2888 |
| Machine Translation (HP) | 5555 | 6086 |
| Object Detection (SP) | 6450 | 6804 |
| Depth Estimation (Q) | 53195 | 32732 |
| Style Transfer (SP) | 82314 | 123465 |
| Framework | Core ML | Core ML |
| Backend | GPU | GPU |
Specifications
Technical specifications of Apple M5 GPU (10-Core) and M4 Pro GPU (16-core)General
| Vendor | Apple | Apple |
| Build | Integrated | Integrated |
| Released | October 15, 2025 | October 29, 2024 |
| Case | Laptop | Laptop |
| Purpose | Professional | Professional |
| Segment | Mid-range | Mid-range |
| Architecture | Apple M GPU | Apple M GPU |
| GPU Codename | Custom | Custom |
| Rival Equivalent | - Adreno X2-90 | - GeForce RTX 4060 Laptop |
| Successor | - | - Apple M5 Pro GPU (16-core) |
| Recommended CPU | - Apple M5 (10-Core) or above | - Apple M4 Pro (12-Core) or above |
| Used in CPUs | - Apple M5 (10-Core) | - Apple M4 Pro (12-Core) |
Laptop GPU ranking (45th and 46th place)
Graphics Processing Unit
| Base Clock | - | 500 MHz |
| Boost Clock | 1620 MHz | 1578 MHz |
| Shading Units | 1280 | 2048 |
| Texture Mapping Units (TMUs) | 80 | 128 |
| Render Output Units (ROPs) | 40 | 64 |
| Compute Units (Pipelines) | 160 | 256 |
| Instructions Per Cycle | 2 IPC | 2 IPC |
Raw Performance
| Pixel Fill Rate | 65 GPixel/s | 101 GPixel/s |
| Texture Fill Rate | 130 GTexel/s | 202 GTexel/s |
FLOPS (FP32)
Physical
| Interface | Custom | Custom |
| TGP | - | 26 W |
| Manufacturing | TSMC | TSMC |
| Fabrication Process | 3 nm | 3 nm |
| Transistor Count | 28 billion | - |
| Max. Temperature | 100°C | 100°C |
Memory
| Memory Type | System Shared | System Shared |
| Memory Clock | 9600 MHz | 8533 MHz |
| Effective Memory Speed | - | 15000 Mbps |
| Bus | 128-bit | 192-bit |
| ECC | No | No |
Memory Bandwidth
API
| Ray Tracing | Yes | Yes |
| DLSS | No | No |
Cast your vote
Total votes: 28
