GeForce RTX 4070 Laptop VS GeForce RTX 5070 Laptop
We are comparing the GeForce RTX 4070 Laptop ( NVIDIA ) head-to-head with the GeForce RTX 5070 Laptop ( NVIDIA ) . You’ll get the key pros and cons of each graphics card, in-depth specs, and gaming benchmarks.
Note: This comparison of GeForce RTX 4070 Laptop vs. GeForce RTX 5070 Laptop is based on Comparigon's analysis and is for informational purposes only.
Last Updated: July 6, 2026
Overall Comparison
KEY DIFFERENCES OF GeForce RTX 4070 Laptop AND GeForce RTX 5070 Laptop
Here’s how GeForce RTX 4070 Laptop and GeForce RTX 5070 Laptop stack up against each other in their most impactful areas. Use these bullets to see at a glance which graphics card excels where.
Reasons to consider the GeForce RTX 4070 Laptop
-
18% higher PassMark GPU Compute score (8389 vs 7128)
-
19% higher FP32 Compute (15.62 TFLOPS vs 13.13 TFLOPS)
Reasons to consider the GeForce RTX 5070 Laptop
-
13% higher 4K Ultra FPS (51 vs 45)
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6% higher 1440p Ultra FPS (87 vs 82)
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5% higher 1080p Ultra FPS (116 vs 110)
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15% higher Boost Clock (1965 MHz vs 1702.5 MHz)
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8% higher 3DMark Time Spy score (13554 vs 12518)
SPECIFICATION TABLE COMPARISON OF GeForce RTX 4070 Laptop AND GeForce RTX 5070 Laptop
Below is the detailed specification table comparing GeForce RTX 4070 Laptop and GeForce RTX 5070 Laptop.
Note: Highlighted specs mean that GPU wins that spec row.
If neither side is highlighted, it is a tie or there is not enough data for both specs.
| Specification | GeForce RTX 4070 Laptop | GeForce RTX 5070 Laptop |
|---|---|---|
|
General Info
|
||
| GPU Name: | GeForce RTX 4070 Laptop | GeForce RTX 5070 Laptop |
| GPU Type: | Laptop GPU | Laptop GPU |
| Codename: | AD106 (GN21-X6) | GB206-300 |
| Vendor: | NVIDIA | NVIDIA |
| Foundry: | TSMC | TSMC |
| Architecture: | Ada Lovelace | Blackwell 2.0 |
| Generation: | GeForce 40 Mobile | GeForce 50 Mobile |
| Release Date: | January 3, 2023 | January 7, 2025 |
|
Board Design
|
||
| Bus Interface: | PCIe 4.0 x16 | PCIe 5.0 x16 |
| PCIe Version: | 4.0 | 5.0 |
| PCIe Lanes: | 16 | 16 |
| Process Size: | 5 nm | 5 nm |
| Transistors: | 22.9 billion | 21.9 billion |
| Density: | 121.8 MTr/mm² | 121.0 MTr/mm² |
| Die Size: | 188 mm² | 181 mm² |
| Total Graphics Power (TGP): | 35-140 W | 50-125 W |
|
Graphics Processor
|
||
| Compute Units: | 36 | 36 |
| Shading Units: | 4608 | 4608 |
| Texture Mapping Units (TMUs): | 144 | 144 |
| Render Output Units (ROPs): | 48 | 48 |
| Tensor Cores: | 144 | 144 |
| Ray Tracing Cores: | 36 | 36 |
| Base Clock: | 735-2070 MHz | 890-1410 MHz |
| Boost Clock: | 1230-2175 MHz | 1410-2520 MHz |
| L1 Cache: | 128 KB per cluster | 128 KB per cluster |
| L2 Cache: | 32 MB | 32 MB |
|
Raw Performance
|
||
| Pixel Fill Rate: | 81.36 GPixel/s | 68.40 GPixel/s |
| Texture Fill Rate: | 244.1 GTexel/s | 205.2 GTexel/s |
| FP32 Performance: | 15.62 TFLOPs | 13.13 TFLOPs |
|
Memory
|
||
| Memory Type: | GDDR6 | GDDR7 |
| Memory Size: | 8 GB | 8 GB |
| Memory Bus Width: | 128-bit | 128-bit |
| Memory Clock: | 2000 MHz | 1500 MHz |
| Effective Memory Speed: | 16000 Mbps | 24000 Mbps |
| Bandwidth: | 256 GB/s | 384 GB/s |
|
APIs
|
||
| DirectX: | 12 Ultimate (12_2) | 12 Ultimate (12_2) |
| Vulkan: | 1.4 | 1.4 |
| OpenGL: | 4.6 | 4.6 |
| OpenCL: | 3.0 | 3.0 |
| CUDA: | 8.9 | 12.0 |
| Ray Tracing: | 1 | 1 |
| DLSS: | DLSS 3 | DLSS 4 |
| DisplayPort: | 1.4a | 2.1b |
|
Gaming FPS
|
||
| 1080p Ultra (FPS): | 110 | 116 |
| 1440p Ultra (FPS): | 82 | 87 |
| 4K Ultra (FPS): | 45 | 51 |
|
Benchmarks
|
||
|
3D Mark
|
||
| Steel Nomad Lite | 12718 | 13899 |
| Time Spy | 12518 | 13554 |
| Solar Bay | 54567 | 59682 |
| Port Royal | 7397 | 8645 |
| Fire Strike | 30041 | 35854 |
| Wild Life Extreme | 23178 | 24526 |
| Night Raid | 113772 | 125379 |
|
GeekBench 6 OpenCL
|
||
| Compute Score | 115081 | 134209 |
| Background Blur | 158.5 img/sec | 213.4 img/sec |
| Face Detection | 116.5 img/sec | 130.4 img/sec |
| Horizon Detection | 4.35 Gpixels/sec | 4.89 Gpixels/sec |
| Edge Detection | 5.67 Gpixels/sec | 6.23 Gpixels/sec |
| Gaussian Blur | 6.44 Gpixels/sec | 7.41 Gpixels/sec |
| Feature Matching | 1.36 Gpixels/sec | 1.46 Gpixels/sec |
| Stereo Matching | 528.5 Gpixels/sec | 661.9 Gpixels/sec |
| Particle Physics | 16372.3 | 19395.6 |
|
Passmark Graphics
|
||
| G3D Mark | 19527 | 19217 |
| G2D Mark | 767 | 884 |
| DirectX 11 | 178 | 187 |
| DirectX 12 | 85 | 91 |
| GPU Compute | 8389 | 7128 |
|
Blender (Rendering)
|
||
| Blender Score | 3620 | 4040 |
|
GeekBench 6 ML
|
||
| Single Precision | 21186 | 22022 |
| Half Precision | 34404 | 40929 |
| Quantized | 16559 | 17069 |
| Image Classification | 8642 | 8984 |
| Image Segmentation | 20635 | 26270 |
| Image Super Resolution | 26378 | 24606 |
| Face Detection | 39776 | 48283 |
| Pose Estimation | 105983 | 98180 |
| Text Classification | 2995 | 3260 |
| Machine Translation | 4507 | 5770 |
| Object Detection | 10198 | 11172 |
| Depth Estimation | 41078 | 43305 |
| Style Transfer | 190315 | 165555 |
| Framework | ONNX | ONNX |
| Backend | DirectML | DirectML |
|
FurMark
|
||
| 1080p Vulkan | 8952 | 9248 |
| 1440p Vulkan | 6807 | — |
| 2160p Vulkan | 2692 | — |
| 1080p OpenGL | 8874 | 8789 |
| 1440p OpenGL | 6706 | 6607 |
Tip: ▲ indicates a higher-is-better spec advantage, while ▼ indicates a lower-is-better advantage.
PERFORMANCE CHART COMPARISON OF GeForce RTX 4070 Laptop AND GeForce RTX 5070 Laptop
The charts below visualize how GeForce RTX 4070 Laptop and GeForce RTX 5070 Laptop stack up in key performance metrics.
Radar Chart Comparison
Bullet Chart Comparison
Release Timeline of GeForce RTX 4070 Laptop and GeForce RTX 5070 Laptop
GeForce RTX 4070 Laptop was released 2 years, 4 days earlier than GeForce RTX 5070 Laptop.
Value For Money Calculator
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Domain Score Summary
Note: Scores (0 to 100) are generated by Comparigon’s scoring algorithm and are intended as a high-level guide. They may not map 1-to-1 with the individual spec-by-spec comparisons shown in the table.
Our Verdict
In conclusion, the GeForce RTX 5070 Laptop edges out overall compared to the GeForce RTX 4070 Laptop. Its strongest advantages are in Gaming Performance, AI & Machine Learning, Hardware Architecture and Workstation. They are still fairly close in Energy Efficiency.
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