GeForce RTX 5090 Laptop vs 3080 Ti Laptop

We compared two discrete laptop gaming GPUs: the GeForce RTX 5090 Mobile 24 GB with 82 pipelines and 10496 shaders against the 3 years and 1 month older RTX 3080 Ti Mobile 16 GB that utilizes 58 pipelines and 7424 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
TGP / Version -

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 3080 Ti Mobile over RTX 5090 Mobile
Reasons to consider the GeForce RTX 5090 Laptop
  • Performs significantly better (up to 2x) in 3DMark Steel Nomad Lite
  • Manufactured using a more efficient 4 nm process technology
  • 92% higher maximum theoretical performance (45.3 vs 23.6 TFLOPS)
  • Shows 64% higher average frame rate in modern games at QHD resolution – 136 vs 83 FPS

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
212
149
140
111
143
91
81
57
The Witcher 3
225
201
143
75
164
136
98
55
Counter-Strike 2
293
222
162
84
238
181
129
72
Far Cry 6
167
153
134
83
123
111
88
51
Hogwarts Legacy
151
120
97
55
95
75
57
30
CoD: Modern Warfare III
196
190
149
101
116
106
78
49
Ghost of Tsushima
135
114
96
63
87
70
56
29
Cyberpunk 2077
177
153
110
51
99
90
57
27
Shadow of the Tomb Raider
273
257
194
104
150
138
103
57
Average FPS by Resolution
1080p High 203 135
1080p Ultra 173 111
1440p Ultra 136 83
4K Ultra 81 47
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
Time Spy 25015 12862
Solar Bay 115087 56131
Port Royal 16530 8091
Fire Strike 51145 30852
Wild Life Extreme 47290 26346
Night Raid 177560 98742
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
226752
Background Blur 266.5 img/sec 200.9 img/sec
Face Detection 196.9 img/sec 131.2 img/sec
Horizon Detection 10.6 Gpixels/sec 6.49 Gpixels/sec
Edge Detection 15.2 Gpixels/sec 8.9 Gpixels/sec
Gaussian Blur 14.4 Gpixels/sec 6.34 Gpixels/sec
Feature Matching 1.89 Gpixels/sec 1.2 Gpixels/sec
Stereo Matching 1150 Gpixels/sec 571 Gpixels/sec
Particle Physics 29783 FPS 17240.3 FPS
API OpenCL OpenCL
Sources: Geekbench [3], [4]

Cinebench 2024 GPU

Hardware benchmark using Maxon's Cinema 4D rendering engine
Cinebench 2024 GPU

Passmark Graphics

Videocard test that focuses on compute shaders, multi-texturing, tessellation, and other features
G3D Mark Score
G2D Mark 1108 813
DirectX 11 266 FPS 160 FPS
DirectX 12 135 FPS 86 FPS
GPU Compute 11399 Ops/s 8216 Ops/s
Sources: PassMark [5], [6] – 1464 & 1839 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
8001.96
Sources: Blender [9], [10] – 75 & 523 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
GeForce RTX 5090 Laptop
No benchmark results yet
GeForce RTX 3080 Ti Laptop
DateBenchmarkResult
📘 2026-09-25 -> op1Geekbench 6 OpenCL138848
📘 2026-09-25 -> op1Geekbench 6 OpenCL136264

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
GB6 ML Half Precision
GB6 ML Quantized
Image Classification (SP) 12121 6797
Image Segmentation (HP) 33054 20808
Image Super Resolution (Q) 33652 15194
Face Detection (HP) 67213 37084
Pose Estimation (Q) 151395 82268
Text Classification (SP) 3209 2863
Machine Translation (HP) 6292 4135
Object Detection (SP) 15618 8559
Depth Estimation (Q) 57894 28330
Style Transfer (SP) 272117 184129
Framework ONNX ONNX
Backend DirectML DirectML
Sources: Geekbench [9], [10]

Specifications

Technical specifications of GeForce RTX 5090 Laptop and 3080 Ti Laptop

General

Vendor Nvidia Nvidia
Build Discrete Discrete
Released January 6, 2025 January 1, 2022
Case Laptop Laptop
Purpose Gaming Gaming
Segment High-end High-end
Architecture Blackwell 2.0 Ampere
GPU Codename GB203-400 GA103 (GN20-E8)
Successor - - GeForce RTX 5090 Laptop
Recommended CPU - Intel Core Ultra 9 275HX or above - Intel Core i9 12900H or above
Laptop GPU ranking (1st and 26th place)

Graphics Processing Unit

Base Clock 990-1515 MHz (configurable) 585-1230 MHz (configurable)
Boost Clock 1515-2160 MHz (configurable) 1125-1590 MHz (configurable)
Shading Units 10496 7424
Texture Mapping Units (TMUs) 328 232
Render Output Units (ROPs) 112 96
Compute Units (Pipelines) 82 58
Tensor Cores 328 232
Ray-tracing Cores 82 58
L1 Cache 128KB per cluster 128KB per cluster
L2 Cache 64MB shared 4MB shared
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 170-242 GPixel/s 108-153 GPixel/s
Texture Fill Rate 497-708 GTexel/s 261-369 GTexel/s
FLOPS (FP32)
31.8-45.3 TFLOPS
16.7-23.6 TFLOPS

Physical

Interface PCIe 5.0 x16 PCIe 4.0 x16
TGP 95-175 W (configurable) 80-175 W (configurable)
Manufacturing TSMC Samsung
Fabrication Process 4 nm 8 nm
Die Size 378 mm² 496 mm²
Transistor Count 45.6 billion 22 billion
Transistor Density 120.63 MTr/mm² 44.35 MTr/mm²

Memory

Memory Type GDDR7 GDDR6
Memory Size 24 GB 16 GB
Memory Clock 1750 MHz 2000 MHz
Effective Memory Speed 28000 Mbps 16000 Mbps
Bus 256-bit 256-bit
ECC No No
Memory Bandwidth
896 GB/s

API

DirectX 12 12
Vulkan 1.4 1.2
OpenGL 4.6 4.6
OpenCL 3.0 3.0
CUDA 10.1 8.6
Ray Tracing Yes Yes
DLSS DLSS 4 DLSS 2
DisplayPort 2.1a 1.4a

Cast your vote

Choose between two graphics cards
15 (65.2%)
8 (34.8%)
Total votes: 23

User opinions

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