GeForce RTX 4050 Laptop vs Apple M2 GPU (8-core)
VS
Nvidia GeForce RTX 4050 Laptop
AD107 (GN21-X2)
We performed a head-to-head comparison of the GeForce RTX 4050 Mobile 6 GB with 20 pipelines and 2560 shaders against the 8 months older Apple M2 GPU (8-core) that utilizes 128 pipelines and 1024 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.
Some GPUs come in different configurations. For greater precision, pick a specific config below
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 GeForce RTX 4050 Laptop
- Performs significantly better (up to 3.4x) in 3DMark Steel Nomad Lite
- 4.2x higher maximum theoretical performance (12.1 vs 2.9 TFLOPS)
- Includes 6 GB of dedicated GDDR6 memory
- Supports Nvidia DLSS 3 technology
- Achieves 2.7x more points in the GeekBench 6 Compute test (81K vs 29K)
- Has 87% higher memory bandwidth: 192 vs 102.4 GB/s
- Has 2.5x more shading units (2560 vs 1024)
Gaming Performance
Frame rate comparison across popular AAA titles at different resolutionsGames
| Forza Horizon 5 | 107 66 56 35 |
- |
| The Witcher 3 | 117 91 67 34 |
- |
| Counter-Strike 2 | 167 126 88 43 |
- |
| Far Cry 6 | 87 79 59 32 |
- |
| Hogwarts Legacy | 62 52 34 20 |
- |
| CoD: Modern Warfare III | 75 68 44 30 |
- |
| Ghost of Tsushima | 57 45 33 17 |
- |
| Cyberpunk 2077 | 61 57 34 13 |
- |
| Shadow of the Tomb Raider | 98 90 62 32 |
- |
| 1080p High | 92 | - |
| 1080p Ultra | 75 | - |
| 1440p Ultra | 53 | - |
| 4K Ultra | 28 | - |
| Margin of Error | Low | Low |
Benchmarks
Graphics cards’ performance in recent benchmarking apps3D Mark
Steel Nomad Lite Score
| Time Spy | 8212 | - |
| Solar Bay | 35375 | 7316 |
| Port Royal | 4624 | - |
| Fire Strike | 21909 | - |
| Wild Life Extreme | 15492 | 5676 |
| Night Raid | 84848 | - |
GeekBench 6 OpenCL
GB6 Compute Score
| Background Blur | 141.4 img/sec | 58.7 img/sec |
| Face Detection | 84.1 img/sec | 35.2 img/sec |
| Horizon Detection | 3.07 Gpixels/sec | 1.1 Gpixels/sec |
| Edge Detection | 3.91 Gpixels/sec | 1.82 Gpixels/sec |
| Gaussian Blur | 3.85 Gpixels/sec | 1.2 Gpixels/sec |
| Feature Matching | 1.1 Gpixels/sec | 0.37 Gpixels/sec |
| Stereo Matching | 325.9 Gpixels/sec | 96 Gpixels/sec |
| Particle Physics | 11008.8 FPS | 3825.9 FPS |
| API | OpenCL | OpenCL |
Cinebench 2024 GPU
Cinebench 2024 GPU
Passmark Graphics
G3D Mark Score
| G2D Mark | 622 | - |
| DirectX 11 | 129 FPS | - |
| DirectX 12 | 60 FPS | - |
| GPU Compute | 5847 Ops/s | - |
Blender
Blender GPU
Recent User Tests
GeForce RTX 4050 Laptop
| Date | Benchmark | Result |
|---|---|---|
| 📘 2026-07-17 (kam) | Geekbench 6 OpenCL | 93074 |
| 📘 2026-07-15 (Mr._.Flexo) | Cinebench 2024 | 8096 |
| 📘 2026-07-02 (SuperDuck) | Geekbench 6 OpenCL | 90032 |
| 📘 2026-05-18 (TheMan) | Cinebench 2024 | 8523 |
| 📘 2026-05-15 -> Zay | Geekbench 6 OpenCL | 89343 |
Apple M2 GPU (8-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) | 6233 | 3242 |
| Image Segmentation (HP) | 16395 | 4890 |
| Image Super Resolution (Q) | 18240 | 7149 |
| Face Detection (HP) | 30758 | 10340 |
| Pose Estimation (Q) | 61300 | 21268 |
| Text Classification (SP) | 3124 | 2268 |
| Machine Translation (HP) | 4357 | 1122 |
| Object Detection (SP) | 7812 | 3007 |
| Depth Estimation (Q) | 29192 | 13941 |
| Style Transfer (SP) | 117759 | 35943 |
| Framework | ONNX | Core ML |
| Backend | DirectML | GPU |
Results were compared using different ML frameworks
Specifications
Technical specifications of GeForce RTX 4050 Laptop and Apple M2 GPU (8-core)General
| Vendor | Nvidia | Apple |
| Build | Discrete | Integrated |
| Released | February 22, 2023 | June 6, 2022 |
| Case | Laptop | Laptop |
| Purpose | Gaming | Professional |
| Segment | Entry-level | Mid-range |
| Architecture | Ada Lovelace | Apple M GPU |
| GPU Codename | AD107 (GN21-X2) | - |
| Rival Equivalent | - Radeon RX 7700S | - |
| Successor | - GeForce RTX 5050 Laptop | - Apple M5 GPU (10-Core) |
| Recommended CPU | - Intel Core Ultra 7 155H or above | - Apple M2 or above |
| Used in CPUs | - | - Apple M2 |
Laptop GPU ranking (66th and 89th place)
Graphics Processing Unit
| Base Clock | 1140-2070 MHz (configurable) | 500 MHz |
| Boost Clock | 1605-2370 MHz (configurable) | 1398 MHz |
| Shading Units | 2560 | 1024 |
| Texture Mapping Units (TMUs) | 80 | 64 |
| Render Output Units (ROPs) | 32 | 32 |
| Compute Units (Pipelines) | 20 | 128 |
| Tensor Cores | 80 | - |
| Ray-tracing Cores | 20 | - |
| L1 Cache | 128KB per cluster | - |
| L2 Cache | 12MB shared | - |
| Instructions Per Cycle | 2 IPC | 2 IPC |
Raw Performance
| Pixel Fill Rate | 51-76 GPixel/s | 45 GPixel/s |
| Texture Fill Rate | 128-190 GTexel/s | 89 GTexel/s |
FLOPS (FP32)
Physical
| Interface | PCIe 4.0 x16 | Custom |
| TGP | 35-140 W (configurable) | 15 W |
| Manufacturing | TSMC | TSMC |
| Fabrication Process | 5 nm | 5 nm |
| Die Size | 156 mm² | - |
| Transistor Count | 18.9 billion | 11.6 billion |
| Transistor Density | 121.15 MTr/mm² | - |
| Max. Temperature | - | 94°C |
Memory
| Memory Type | GDDR6 | System Shared |
| Memory Size | 6 GB | - |
| Memory Clock | 2000 MHz | 6400 MHz |
| Effective Memory Speed | 16000 Mbps | 12800 Mbps |
| Bus | 96-bit | 128-bit |
| ECC | No | No |
Memory Bandwidth
API
| DirectX | 12 | - |
| Vulkan | 1.3 | - |
| OpenGL | 4.6 | - |
| OpenCL | 3.0 | - |
| CUDA | 8.9 | - |
| Ray Tracing | Yes | No |
| DLSS | DLSS 3 | No |
| DisplayPort | 1.4a | - |
Cast your vote
Total votes: 24