Nvidia N1 (16SM) vs Apple M4 GPU (10-Core)
Nvidia N1 (16SM)
GB20B
Apple M4 GPU (10-Core)
Custom
We performed a head-to-head comparison of the Nvidia N1 (16SM) with 16 pipelines and 2048 shaders against the 2 years and 2 months older Apple M4 GPU (10-Core) that utilizes 160 pipelines and 1280 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
Scores marked with a red asterisk (**) represent initial estimates from early testing.
Key differences
Reasons to consider the Nvidia N1 (16SM)
- 2.6x higher maximum theoretical performance (9.9 vs 3.8 TFLOPS)
- Has 2.3x higher memory bandwidth: 273.2 vs 120 GB/s
- Has 60% more shading units (2048 vs 1280)
Reasons to consider the Apple M4 GPU (10-Core)
- Manufactured using a more efficient 3 nm process technology
Benchmarks
Graphics cards’ performance in recent benchmarking apps3D Mark
Steel Nomad Lite Score
| Solar Bay | - | 16554 |
| Wild Life Extreme | - | 9610 |
GeekBench 6 GPU Compute
GB6 Compute Score
| Background Blur | - | 72.2 img/sec |
| Face Detection | - | 48.3 img/sec |
| Horizon Detection | - | 1.4 Gpixels/sec |
| Edge Detection | - | 1.94 Gpixels/sec |
| Gaussian Blur | - | 1.5 Gpixels/sec |
| Feature Matching | - | 0.53 Gpixels/sec |
| Stereo Matching | - | 123.3 Gpixels/sec |
| Particle Physics | - | 4938.4 FPS |
| API | - | OpenCL |
Cinebench 2024 GPU
Cinebench 2024 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) | - | 4874 |
| Image Segmentation (HP) | - | 8168 |
| Image Super Resolution (Q) | - | 11983 |
| Face Detection (HP) | - | 17036 |
| Pose Estimation (Q) | - | 31171 |
| Text Classification (SP) | - | 2964 |
| Machine Translation (HP) | - | 3410 |
| Object Detection (SP) | - | 5112 |
| Depth Estimation (Q) | - | 22700 |
| Style Transfer (SP) | - | 60872 |
| Framework | - | Core ML |
| Backend | - | GPU |
Specifications
Technical specifications of Nvidia N1 (16SM) and Apple M4 GPU (10-Core)General
| Vendor | Nvidia | Apple |
| Build | Discrete | Integrated |
| Released | June 1, 2026 | May 7, 2024 |
| Case | Laptop | Laptop |
| Purpose | Professional | Professional |
| Segment | Entry-level | Mid-range |
| Architecture | Blackwell (N1x) | Apple M GPU |
| GPU Codename | GB20B | Custom |
| Rival Equivalent | - | - Adreno X1-85 |
| Successor | - | - Apple M5 GPU (10-Core) |
| Recommended CPU | - | - Apple M4 (10-Core) or above |
| Used in CPUs | - | - Apple M4 (10-Core) |
Laptop GPU ranking (18th and 73rd place)
Graphics Processing Unit
| Base Clock | 1665 MHz | 500 MHz |
| Boost Clock | 2418 MHz | 1470 MHz |
| Shading Units | 2048 | 1280 |
| Texture Mapping Units (TMUs) | 128 | 80 |
| Render Output Units (ROPs) | 24 | 40 |
| Compute Units (Pipelines) | 16 | 160 |
| Tensor Cores | 64 | - |
| Ray-tracing Cores | 16 | - |
| L1 Cache | 128KB per cluster | - |
| L2 Cache | 50MB shared | - |
| Instructions Per Cycle | 2 IPC | 2 IPC |
Raw Performance
| Pixel Fill Rate | 58 GPixel/s | 59 GPixel/s |
| Texture Fill Rate | 310 GTexel/s | 118 GTexel/s |
FLOPS (FP32)
Physical
| Interface | PCIe 5.0 x16 | Custom |
| TGP | - | 18 W |
| Manufacturing | TSMC | TSMC |
| Fabrication Process | 5 nm | 3 nm |
| Transistor Count | - | 28 billion |
| Max. Temperature | - | 100°C |
Memory
| Memory Type | System Shared | System Shared |
| Memory Clock | - | 7500 MHz |
| Effective Memory Speed | - | 15000 Mbps |
| Bus | 256-bit | 128-bit |
| ECC | No | No |
Memory Bandwidth
API
| OpenCL | 3.0 | - |
| CUDA | 12.1 | - |
| Ray Tracing | Yes | Yes |
| DLSS | - | No |
Cast your vote
Total votes: < 1