GeForce RTX 5070 Ti Laptop vs 2060 Mobile

We compared two discrete laptop gaming GPUs: the GeForce RTX 5070 Ti Mobile 12 GB with 46 pipelines and 5888 shaders against the 6 years older RTX 2060 Mobile 6 GB that utilizes 30 pipelines and 1920 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 2060 Laptop over RTX 5070 Ti Mobile
Reasons to consider the GeForce RTX 5070 Ti Laptop
  • Performs significantly better (up to 3.1x) in 3DMark Steel Nomad Lite
  • 5.8x higher maximum theoretical performance (26.8 vs 4.6 TFLOPS)
  • Manufactured using a more efficient 4 nm process technology
  • Shows 2.7x higher average frame rate in modern games at QHD resolution – 106 vs 40 FPS
Reasons to consider the GeForce RTX 2060 Mobile
  • Features 56 more tensor cores for effective ML and AI workloads

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
168
112
102
77
88
52
42
25
The Witcher 3
191
162
116
62
85
65
45
22
Counter-Strike 2
273
202
144
80
134
92
68
28
Far Cry 6
146
133
114
71
71
62
45
24
Hogwarts Legacy
118
94
74
40
45
38
27
13
CoD: Modern Warfare III
150
139
107
70
56
48
34
20
Ghost of Tsushima
105
89
73
43
41
31
26
13
Cyberpunk 2077
129
117
76
37
45
40
22
10
Shadow of the Tomb Raider
211
190
147
80
75
71
47
26
Average FPS by Resolution
1080p High 166 71
1080p Ultra 138 55
1440p Ultra 106 40
4K Ultra 62 20
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 17376 5958
Solar Bay 78498 25742
Port Royal 11401 3328
Fire Strike 42353 15852
Wild Life Extreme 33661 11600
Night Raid 154057 62045
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
166122
Background Blur 248 img/sec 150.7 img/sec
Face Detection 147.7 img/sec 75.5 img/sec
Horizon Detection 6.54 Gpixels/sec 2.83 Gpixels/sec
Edge Detection 8.24 Gpixels/sec 3.68 Gpixels/sec
Gaussian Blur 9.55 Gpixels/sec 4.08 Gpixels/sec
Feature Matching 1.64 Gpixels/sec 0.89 Gpixels/sec
Stereo Matching 876 Gpixels/sec 257.7 Gpixels/sec
Particle Physics 24026.1 FPS 9069.6 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
G2D Mark 968 540
DirectX 11 235 FPS 96 FPS
DirectX 12 100 FPS 39 FPS
GPU Compute 8295 Ops/s 3992 Ops/s
Sources: PassMark [5], [6]3123 & 1238 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
4994.08
1374.98
Sources: Blender [9], [10]456 & 124 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
GeForce RTX 5070 Ti Laptop
DateBenchmarkResult
📘 2026-06-12 (mahmut)Steel Nomad Light3874
📘 2026-05-04 -> lnwponlawatGeekBench185432
📘 2026-05-04 -> lnwponlawatSteel Nomad Light19141
GeForce RTX 2060 Mobile
DateBenchmarkResult
📘 2026-06-21 (WOLF)GeekBench84403

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) 10408 4450
Image Segmentation (HP) 29018 9120
Image Super Resolution (Q) 26983 9180
Face Detection (HP) 54398 18866
Pose Estimation (Q) 107270 41027
Text Classification (SP) 3658 1741
Machine Translation (HP) 6237 2269
Object Detection (SP) 13717 4980
Depth Estimation (Q) 49509 18044
Style Transfer (SP) 199816 91554
Framework ONNX ONNX
Backend DirectML DirectML
Sources: Geekbench [9], [10]

Specifications

Technical specifications of GeForce RTX 5070 Ti Laptop and 2060 Mobile

General

Vendor Nvidia Nvidia
Build Discrete Discrete
Released January 7, 2025 January 29, 2019
Case Laptop Laptop
Purpose Gaming Gaming
Segment Mid-range High-end
Architecture Blackwell 2.0 Turing
GPU Codename GB205-200 TU106 (N18E-G1-B)
Successor - - GeForce RTX 5060 Laptop
Recommended CPU - Intel Core Ultra 7 255HX or above - Intel Core i7 10750H or above
Laptop GPU ranking (7th and 90th place)

Graphics Processing Unit

Base Clock 847-1762 MHz (configurable) 960 MHz
Boost Clock 1447-2280 MHz (configurable) 1175-1200 MHz (configurable)
Shading Units 5888 1920
Texture Mapping Units (TMUs) 184 120
Render Output Units (ROPs) 80 48
Compute Units (Pipelines) 46 30
Tensor Cores 184 240
Ray-tracing Cores 46 30
L1 Cache 128KB per cluster 64KB per cluster
L2 Cache 48MB shared 3MB shared
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 116-182 GPixel/s 56-58 GPixel/s
Texture Fill Rate 266-420 GTexel/s 141-144 GTexel/s
FLOPS (FP32)
17-26.8 TFLOPS
4.5-4.6 TFLOPS

Physical

Interface PCIe 5.0 x16 PCIe 3.0 x16
TGP 60-140 W (configurable) 80-115 W (configurable)
Manufacturing TSMC TSMC
Fabrication Process 4 nm 12 nm
Die Size 263 mm² 445 mm²
Transistor Count 31.1 billion 10.8 billion
Transistor Density 118.25 MTr/mm² 24.27 MTr/mm²

Memory

Memory Type GDDR7 GDDR6
Memory Size 12 GB 6 GB
Memory Clock 1750 MHz 1375 MHz
Effective Memory Speed 28000 Mbps 11000 Mbps
Bus 192-bit 192-bit
ECC No No
Memory Bandwidth
672 GB/s
264 GB/s

API

DirectX 12.2 12
Vulkan 1.4 1.2
OpenGL 4.6 4.6
OpenCL 3.0 1.2
CUDA 12.0 7.5
Ray Tracing Yes Yes
DLSS DLSS 4 DLSS 2
DisplayPort 2.1b 1.4

Cast your vote

Choose between two graphics cards
4 (66.7%)
2 (33.3%)
Total votes: 6

User opinions

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