Nvidia RTX 3500 Laptop (Ada) vs GeForce RTX 4070 Laptop

We compared two discrete laptop graphics cards: the Nvidia RTX 3500 Mobile (Ada) 12 GB with 40 pipelines and 5120 shaders against the GeForce RTX 4070 Mobile 8 GB that utilizes 36 pipelines and 4608 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 4070 Mobile over RTX 3500 Mobile (Ada)
Reasons to consider the Nvidia RTX 3500 Laptop (Ada)
  • 15% higher maximum theoretical performance (23 vs 20 TFLOPS)
  • Includes 4 GB more video memory
  • Supports error correction code (ECC) memory
  • Has 69% higher memory bandwidth: 432 vs 256 GB/s

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
145
95
82
58
139
89
77
56
The Witcher 3
170
137
97
55
164
129
95
53
Counter-Strike 2
243
190
130
76
236
183
130
71
Far Cry 6
128
113
92
54
121
109
87
51
Hogwarts Legacy
93
80
61
33
91
77
60
28
CoD: Modern Warfare III
119
107
79
50
111
105
77
51
Ghost of Tsushima
87
73
56
32
85
69
53
29
Cyberpunk 2077
102
88
57
26
99
84
53
25
Shadow of the Tomb Raider
154
143
109
59
147
137
100
53
Average FPS by Resolution
1080p High 138 133
1080p Ultra 114 109
1440p Ultra 85 81
4K Ultra 49 46
Margin of Error High 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 12936 12514
Solar Bay 51967 54815
Port Royal 7976 7416
Fire Strike 32977 30057
Wild Life Extreme 26514 23262
Night Raid 102266 113672
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 223 img/sec 158.5 img/sec
Face Detection 145.8 img/sec 116.5 img/sec
Horizon Detection 5.87 Gpixels/sec 4.35 Gpixels/sec
Edge Detection 7.77 Gpixels/sec 5.67 Gpixels/sec
Gaussian Blur 7.2 Gpixels/sec 6.44 Gpixels/sec
Feature Matching 1.39 Gpixels/sec 1.36 Gpixels/sec
Stereo Matching 458.7 Gpixels/sec 528.5 Gpixels/sec
Particle Physics 14313 FPS 16372.3 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 709 766
DirectX 11 186 FPS 177 FPS
DirectX 12 84 FPS 85 FPS
GPU Compute 7625 Ops/s 8365 Ops/s
Sources: PassMark [5], [6]893 & 13217 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
4297.33
3585.95
Sources: Blender [9], [10]85 & 2189 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Nvidia RTX 3500 Laptop (Ada)
No benchmark results yet
GeForce RTX 4070 Laptop
DateBenchmarkResult
📘 2026-06-05 (Wahid)GeekBench122515
📘 2026-06-05 (Wahid)GeekBench35869

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) 8316 8642
Image Segmentation (HP) 17301 20635
Image Super Resolution (Q) 27105 26378
Face Detection (HP) 38189 39776
Pose Estimation (Q) 105500 105983
Text Classification (SP) 3319 2995
Machine Translation (HP) 3845 4507
Object Detection (SP) 10208 10198
Depth Estimation (Q) 38369 41078
Style Transfer (SP) 196359 190315
Framework ONNX ONNX
Backend DirectML DirectML
Sources: Geekbench [9], [10]

Specifications

Technical specifications of Nvidia RTX 3500 Laptop (Ada) and GeForce RTX 4070 Laptop

General

Vendor Nvidia Nvidia
Build Discrete Discrete
Released March 21, 2023 February 22, 2023
Case Laptop Laptop
Purpose Professional Gaming
Segment Mid-range High-end
Architecture Ada Lovelace Ada Lovelace
GPU Codename AD104 AD106 (GN21-X6)
Successor - - GeForce RTX 5070 Laptop
Recommended CPU - Intel Core Ultra 7 165H or above - Intel Core Ultra 7 155H or above
Laptop GPU ranking (15th and 22nd place)

Graphics Processing Unit

Base Clock - 735-2070 MHz (configurable)
Boost Clock 1545-2250 MHz (configurable) 1230-2175 MHz (configurable)
Shading Units 5120 4608
Texture Mapping Units (TMUs) 160 144
Render Output Units (ROPs) 64 48
Compute Units (Pipelines) 40 36
Tensor Cores 160 144
Ray-tracing Cores 40 36
L1 Cache 128KB per cluster 128KB per cluster
L2 Cache 48MB shared 32MB shared
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 99-144 GPixel/s 59-104 GPixel/s
Texture Fill Rate 247-360 GTexel/s 177-313 GTexel/s
FLOPS (FP32)
15.8-23 TFLOPS
11.3-20 TFLOPS

Physical

Interface PCIe 4.0 x16 PCIe 4.0 x16
TGP 60-140 W (configurable) 35-140 W (configurable)
Manufacturing TSMC TSMC
Fabrication Process 5 nm 5 nm
Die Size 294 mm² 186 mm²
Transistor Count 35.8 billion 22.9 billion
Transistor Density 121.77 MTr/mm² 123.12 MTr/mm²
Max. Temperature 95°C -

Memory

Memory Type GDDR6 GDDR6
Memory Size 12 GB 8 GB
Memory Clock 2250 MHz 2000 MHz
Effective Memory Speed 18000 Mbps 16000 Mbps
Bus 192-bit 128-bit
ECC Yes No
Memory Bandwidth
432 GB/s
256 GB/s

API

DirectX 12 12
Vulkan 1.3 1.3
OpenGL 4.6 4.6
OpenCL 3.0 3.0
CUDA 8.9 8.9
Ray Tracing Yes Yes
DLSS DLSS 3 DLSS 3
DisplayPort 1.4a 1.4a

Cast your vote

Choose between two graphics cards
28 (75.7%)
9 (24.3%)
Total votes: 37

User opinions

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