GeForce RTX 4070 Laptop vs 3080 Laptop
VS
Nvidia GeForce RTX 4070 Laptop
AD106 (GN21-X6)
Nvidia GeForce RTX 3080 Laptop
GA104 (GN20-E7)
We compared two discrete laptop gaming GPUs: the GeForce RTX 4070 Mobile 8 GB with 36 pipelines and 4608 shaders against the 2 years and 2 months older RTX 3080 Mobile 16 GB that utilizes 48 pipelines and 6144 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 4070 Laptop
- Manufactured using a more efficient 5 nm process technology
- Supports Nvidia DLSS 3 technology
Reasons to consider the GeForce RTX 3080 Laptop
- Includes 8 GB more video memory
- Has 75% higher memory bandwidth: 448 vs 256 GB/s
- Features 48 more tensor cores for effective ML and AI workloads
- Has 33% more shading units (6144 vs 4608)
Gaming Performance
Frame rate comparison across popular AAA titles at different resolutionsGames
| Forza Horizon 5 | 139 89 77 56 |
132 87 77 53 |
| The Witcher 3 | 164 129 95 53 |
151 126 90 48 |
| Counter-Strike 2 | 236 183 130 71 |
221 172 120 66 |
| Far Cry 6 | 121 109 87 51 |
115 107 85 47 |
| Hogwarts Legacy | 91 77 60 28 |
85 72 55 30 |
| CoD: Modern Warfare III | 111 105 77 51 |
104 97 70 46 |
| Ghost of Tsushima | 85 69 53 29 |
82 67 51 29 |
| Cyberpunk 2077 | 99 84 53 25 |
91 80 51 22 |
| Shadow of the Tomb Raider | 147 137 100 53 |
144 131 96 49 |
| 1080p High | 133 | 125 |
| 1080p Ultra | 109 | 104 |
| 1440p Ultra | 81 | 77 |
| 4K Ultra | 46 | 43 |
| Margin of Error | Low | Low |
Benchmarks
Graphics cards’ performance in recent benchmarking apps3D Mark
Steel Nomad Lite Score
| Time Spy | 12514 | 11989 |
| Solar Bay | 54815 | 50311 |
| Port Royal | 7416 | 7199 |
| Fire Strike | 30057 | 29057 |
| Wild Life Extreme | 23262 | 24744 |
| Night Raid | 113672 | 81862 |
GeekBench 6 OpenCL
GB6 Compute Score
| Background Blur | 158.5 img/sec | 211 img/sec |
| Face Detection | 116.5 img/sec | 123.6 img/sec |
| Horizon Detection | 4.35 Gpixels/sec | 5.78 Gpixels/sec |
| Edge Detection | 5.67 Gpixels/sec | 8.03 Gpixels/sec |
| Gaussian Blur | 6.44 Gpixels/sec | 6.25 Gpixels/sec |
| Feature Matching | 1.36 Gpixels/sec | 1.17 Gpixels/sec |
| Stereo Matching | 528.5 Gpixels/sec | 543.2 Gpixels/sec |
| Particle Physics | 16372.3 FPS | 17774.9 FPS |
| API | OpenCL | OpenCL |
Cinebench 2024 GPU
Cinebench 2024 GPU
Passmark Graphics
G3D Mark Score
| G2D Mark | 766 | 625 |
| DirectX 11 | 177 FPS | 145 FPS |
| DirectX 12 | 85 FPS | 71 FPS |
| GPU Compute | 8365 Ops/s | 7049 Ops/s |
Blender
Blender GPU
Recent User Tests
GeForce RTX 4070 Laptop
| Date | Benchmark | Result |
|---|---|---|
| 📘 2026-06-05 (Wahid) | Geekbench 6 OpenCL | 122515 |
| 📘 2026-06-05 (Wahid) | Geekbench 6 OpenCL | 35869 |
GeForce RTX 3080 Laptop
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) | 8642 | 6773 |
| Image Segmentation (HP) | 20635 | 19587 |
| Image Super Resolution (Q) | 26378 | 15553 |
| Face Detection (HP) | 39776 | 35885 |
| Pose Estimation (Q) | 105983 | 82446 |
| Text Classification (SP) | 2995 | 2830 |
| Machine Translation (HP) | 4507 | 4019 |
| Object Detection (SP) | 10198 | 8380 |
| Depth Estimation (Q) | 41078 | 28597 |
| Style Transfer (SP) | 190315 | 184715 |
| Framework | ONNX | ONNX |
| Backend | DirectML | DirectML |
Specifications
Technical specifications of GeForce RTX 4070 Laptop and 3080 LaptopGeneral
| Vendor | Nvidia | Nvidia |
| Build | Discrete | Discrete |
| Released | February 22, 2023 | January 12, 2021 |
| Case | Laptop | Laptop |
| Purpose | Gaming | Gaming |
| Segment | High-end | High-end |
| Architecture | Ada Lovelace | Ampere |
| GPU Codename | AD106 (GN21-X6) | GA104 (GN20-E7) |
| Rival Equivalent | - | - Radeon RX 6800M |
| Successor | - GeForce RTX 5070 Laptop | - GeForce RTX 5080 Laptop |
| Recommended CPU | - Intel Core Ultra 7 155H or above | - Intel Core i9 12900H or above |
Laptop GPU ranking (23rd and 34th place)
Graphics Processing Unit
| Base Clock | 735-2070 MHz (configurable) | 780-1350 MHz (configurable) |
| Boost Clock | 1230-2175 MHz (configurable) | 1245-1710 MHz (configurable) |
| Shading Units | 4608 | 6144 |
| Texture Mapping Units (TMUs) | 144 | 192 |
| Render Output Units (ROPs) | 48 | 96 |
| Compute Units (Pipelines) | 36 | 48 |
| Tensor Cores | 144 | 192 |
| Ray-tracing Cores | 36 | 48 |
| L1 Cache | 128KB per cluster | 128KB per cluster |
| L2 Cache | 32MB shared | 4MB shared |
| Instructions Per Cycle | 2 IPC | 2 IPC |
Raw Performance
| Pixel Fill Rate | 59-104 GPixel/s | 120-164 GPixel/s |
| Texture Fill Rate | 177-313 GTexel/s | 239-328 GTexel/s |
FLOPS (FP32)
Physical
| Interface | PCIe 4.0 x16 | PCIe 4.0 x16 |
| TGP | 35-140 W (configurable) | 80-165 W (configurable) |
| Manufacturing | TSMC | Samsung |
| Fabrication Process | 5 nm | 8 nm |
| Die Size | 186 mm² | 392 mm² |
| Transistor Count | 22.9 billion | 17.4 billion |
| Transistor Density | 123.12 MTr/mm² | 44.39 MTr/mm² |
Memory
| Memory Type | GDDR6 | GDDR6 |
| Memory Size | 8 GB | 8-16 GB |
| Memory Clock | 2000 MHz | 1500-1750 MHz |
| Effective Memory Speed | 16000 Mbps | 12000-14000 Mbps |
| Bus | 128-bit | 256-bit |
| ECC | No | No |
Memory Bandwidth
API
| DirectX | 12 | 12 |
| Vulkan | 1.3 | 1.2 |
| OpenGL | 4.6 | 4.6 |
| OpenCL | 3.0 | 2.0 |
| CUDA | 8.9 | 8.6 |
| Ray Tracing | Yes | Yes |
| DLSS | DLSS 3 | DLSS 2 |
| DisplayPort | 1.4a | 1.4a |
Cast your vote
Total votes: 261