GeForce RTX 5080 Laptop vs 5070 Laptop

We compared two discrete laptop gaming GPUs: the GeForce RTX 5080 Mobile 16 GB with 60 pipelines and 7680 shaders against the RTX 5070 Mobile 8 GB that utilizes 36 pipelines and 4608 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Review

General comparison of performance in games, applications, power efficiency, and other metrics
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

Key distinctions and advantages of RTX 5070 Mobile over RTX 5080 Mobile
Reasons to consider the GeForce RTX 5080 Laptop
  • Performs significantly better (up to 62%) in 3DMark Steel Nomad Lite
  • 59% higher maximum theoretical performance (37 vs 23.2 TFLOPS)
  • Shows 43% higher average frame rate in modern games at QHD resolution – 126 vs 88 FPS
  • Includes 8 GB more video memory
  • Has 2.3x higher memory bandwidth: 896 vs 384 GB/s
  • Features 96 more tensor cores for effective ML and AI workloads
  • Achieves 42% more points in the GeekBench 6 Compute test (190K vs 134K)
  • Has 67% more shading units (7680 vs 4608)

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
196
136
125
93
148
95
87
62
The Witcher 3
216
177
134
69
166
140
101
57
Counter-Strike 2
279
214
156
82
242
191
136
79
Far Cry 6
156
146
128
78
128
118
93
57
Hogwarts Legacy
135
113
89
49
98
79
61
34
CoD: Modern Warfare III
176
165
132
86
124
111
80
54
Ghost of Tsushima
122
103
89
52
88
77
59
31
Cyberpunk 2077
155
138
96
46
104
92
60
27
Shadow of the Tomb Raider
247
239
183
98
165
150
113
59
Average FPS by Resolution
1080p High 187 140
1080p Ultra 159 117
1440p Ultra 126 88
4K Ultra 73 51
Margin of Error Low Low

Benchmarks

Graphics cards’ performance in recent benchmarking apps

3D Mark

Multiplatform graphics benchmark suite that directly correlates with performance in modern games
Steel Nomad Lite Score
22627
Time Spy 22033 13620
Solar Bay 99471 60191
Port Royal 14223 8718
Fire Strike 47380 35708
Wild Life Extreme 41208 24700
Night Raid 172035 124794
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
190326
Background Blur 194.4 img/sec 213.4 img/sec
Face Detection 165.6 img/sec 130.4 img/sec
Horizon Detection 8.61 Gpixels/sec 4.89 Gpixels/sec
Edge Detection 12.2 Gpixels/sec 6.23 Gpixels/sec
Gaussian Blur 11.5 Gpixels/sec 7.41 Gpixels/sec
Feature Matching 1.7 Gpixels/sec 1.46 Gpixels/sec
Stereo Matching 1060 Gpixels/sec 661.9 Gpixels/sec
Particle Physics 27590.4 FPS 19395.6 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

Passmark Graphics

Videocard test that focuses on compute shaders, multi-texturing, tessellation, and other features
G3D Mark Score
26286
G2D Mark 1084 895
DirectX 11 254 FPS 185 FPS
DirectX 12 115 FPS 91 FPS
GPU Compute 10342 Ops/s 7051 Ops/s
Sources: PassMark [5], [6] – 2296 & 3607 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
6640.56
4005.43
Sources: Blender [9], [10] – 613 & 440 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
GeForce RTX 5080 Laptop
DateBenchmarkResult
📘 2025-08-14 (Vasujen07)Geekbench 6 OpenCL237804
GeForce RTX 5070 Laptop
DateBenchmarkResult
📘 2026-06-05 (Levi)Geekbench 6 OpenCL141514
📘 2026-04-11 (Cyrus)Geekbench 6 OpenCL131880

Artificial Intelligence Tests

Performance in machine learning and artificial intelligence tasks

GeekBench 6 ML

Tests throughput of AI operations in single, half, and quantized precision
GB6 ML Single Precision
25636
GB6 ML Half Precision
GB6 ML Quantized
19809
Image Classification (SP) 10192 8984
Image Segmentation (HP) 23343 26270
Image Super Resolution (Q) 31132 24606
Face Detection (HP) 46322 48283
Pose Estimation (Q) 134037 98180
Text Classification (SP) 3319 3260
Machine Translation (HP) 4696 5770
Object Detection (SP) 13038 11172
Depth Estimation (Q) 52089 43305
Style Transfer (SP) 248270 165555
Framework ONNX ONNX
Backend DirectML DirectML
Sources: Geekbench [9], [10]

Specifications

Technical specifications of GeForce RTX 5080 Laptop and 5070 Laptop

General

Vendor Nvidia Nvidia
Build Discrete Discrete
Released January 7, 2025 January 7, 2025
Case Laptop Laptop
Purpose Gaming Gaming
Segment High-end Mid-range
Architecture Blackwell 2.0 Blackwell 2.0
GPU Codename GB203-400 GB206-300
Recommended CPU - Intel Core Ultra 9 275HX or above - Intel Core Ultra 7 255HX or above
Laptop GPU ranking (3rd and 16th place)

Graphics Processing Unit

Base Clock 975 MHz 890-1410 MHz (configurable)
Boost Clock 1500-2410 MHz (configurable) 1410-2520 MHz (configurable)
Shading Units 7680 4608
Texture Mapping Units (TMUs) 240 144
Render Output Units (ROPs) 96 48
Compute Units (Pipelines) 60 36
Tensor Cores 240 144
Ray-tracing Cores 60 36
L1 Cache 128KB per cluster 128KB per cluster
L2 Cache 64MB shared 32MB shared
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 144-231 GPixel/s 68-121 GPixel/s
Texture Fill Rate 360-578 GTexel/s 203-363 GTexel/s
FLOPS (FP32)
23-37 TFLOPS
13-23.2 TFLOPS

Physical

Interface PCIe 5.0 x16 PCIe 5.0 x16
TGP 80-175 W (configurable) 50-125 W (configurable)
Manufacturing TSMC TSMC
Fabrication Process 4 nm 4 nm
Die Size 378 mm² 181 mm²
Transistor Count 45.6 billion 21.9 billion
Transistor Density 120.63 MTr/mm² 120.99 MTr/mm²

Memory

Memory Type GDDR7 GDDR7
Memory Size 16 GB 8 GB
Memory Clock 1750 MHz 1750 MHz
Effective Memory Speed 28000 Mbps 24000 Mbps
Bus 256-bit 128-bit
ECC No No
Memory Bandwidth
896 GB/s
384 GB/s

API

DirectX 12.2 12.2
Vulkan 1.4 1.4
OpenGL 4.6 4.6
OpenCL 3.0 3.0
CUDA 10.1 12.0
Ray Tracing Yes Yes
DLSS DLSS 4 DLSS 4
DisplayPort 2.1b 2.1b

Cast your vote

Choose between two graphics cards
33 (76.7%)
10 (23.3%)
Total votes: 43

User opinions

You can share your opinion or ask a question in the comments below
🌐 Register your profile and become part of NanoReview community!