GeForce RTX 3050 Laptop vs GTX 1650 Ti Mobile

We compared two discrete laptop gaming GPUs: the GeForce RTX 3050 Mobile with 16 pipelines and 2048 shaders against the 9 months older GTX 1650 Ti Mobile that utilizes 16 pipelines and 1024 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 GTX 1650 Ti Laptop over RTX 3050 Mobile
Reasons to consider the GeForce RTX 3050 Laptop
  • Performs significantly better (up to 41%) in 3DMark Steel Nomad Lite
  • 2.4x higher maximum theoretical performance (7.1 vs 3 TFLOPS)
  • Shows 39% higher average frame rate in modern games at QHD resolution – 32 vs 23 FPS
  • Manufactured using a more efficient 8 nm process technology
  • Ray-tracing support with 16 dedicated RT cores

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5
75
44
34
21
56
33
26
16
The Witcher 3
68
53
38
20
45
33
23
11
Counter-Strike 2
115
80
54
23
77
55
36
14
Far Cry 6
60
52
40
17
43
42
31
14
Hogwarts Legacy
37
28
23
12
27
20
15
-
CoD: Modern Warfare III
48
37
27
16
35
30
20
12
Ghost of Tsushima
37
28
18
10
25
18
13
-
Cyberpunk 2077
36
35
19
-
26
24
14
-
Shadow of the Tomb Raider
66
62
39
18
47
45
28
13
Average FPS by Resolution
1080p High 60 42
1080p Ultra 47 33
1440p Ultra 32 23
4K Ultra 16 11
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 4884 3674
Solar Bay 21596 -
Port Royal 552 -
Fire Strike 12571 10076
Wild Life Extreme 9400 7553
Night Raid 53685 42727
Sources: 3DMark [1], [2]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 88.6 img/sec 83.5 img/sec
Face Detection 57.3 img/sec 45.7 img/sec
Horizon Detection 2.53 Gpixels/sec 1.77 Gpixels/sec
Edge Detection 3.33 Gpixels/sec 2.32 Gpixels/sec
Gaussian Blur 2.55 Gpixels/sec 2.28 Gpixels/sec
Feature Matching 0.76 Gpixels/sec 0.62 Gpixels/sec
Stereo Matching 256.5 Gpixels/sec 204.1 Gpixels/sec
Particle Physics 7465.5 FPS 5954.3 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 493 370
DirectX 11 71 FPS 61 FPS
DirectX 12 46 FPS 33 FPS
GPU Compute 3868 Ops/s 2717 Ops/s
Sources: PassMark [5], [6] – 20037 & 6030 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
1154.04
Sources: Blender [9], [10] – 1497 & 37 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
GeForce RTX 3050 Laptop
DateBenchmarkResult
📘 2026-08-31 (bobschieffer)Geekbench 6 OpenCL61418
📘 2026-08-29 (bobschieffer)Cinebench 20243654
📘 2026-08-13 -> Kushagra_AggarwalSteel Nomad Light5735
📘 2026-01-26 (rar)Geekbench 6 OpenCL68364
GeForce GTX 1650 Ti Mobile
No benchmark results yet

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) 4349 2866
Image Segmentation (HP) 11416 3745
Image Super Resolution (Q) 8973 6865
Face Detection (HP) 18927 6519
Pose Estimation (Q) 34631 24706
Text Classification (SP) 2269 1793
Machine Translation (HP) 3539 1906
Object Detection (SP) 5046 3498
Depth Estimation (Q) 15772 13936
Style Transfer (SP) 75260 50917
Framework ONNX ONNX
Backend DirectML DirectML
Sources: Geekbench [9], [10]

Specifications

Technical specifications of GeForce RTX 3050 Laptop and GTX 1650 Ti Mobile

General

Vendor Nvidia Nvidia
Build Discrete Discrete
Released January 1, 2021 April 2, 2020
Case Laptop Laptop
Purpose Gaming Gaming
Segment Mid-range Mid-range
Architecture Ampere Turing
GPU Codename GA107 TU117 (N18P-G62)
Rival Equivalent - - Radeon RX 5500M
Successor - GeForce RTX 5050 Laptop -
Recommended CPU - - Intel Core i5 10300H or above
Laptop GPU ranking (93rd and 109th place)

Graphics Processing Unit

Base Clock 712-1530 MHz (configurable) 1350 MHz
Boost Clock 1057-1740 MHz (configurable) 1485 MHz
Shading Units 2048 1024
Texture Mapping Units (TMUs) 64 64
Render Output Units (ROPs) 40 32
Compute Units (Pipelines) 16 16
Tensor Cores 64 No
Ray-tracing Cores 16 No
L1 Cache 128KB per cluster 64KB per cluster
L2 Cache 2MB shared 1MB shared
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 42-70 GPixel/s 48 GPixel/s
Texture Fill Rate 68-111 GTexel/s 95 GTexel/s
FLOPS (FP32)
4.3-7.1 TFLOPS

Physical

Interface PCIe 4.0 x16 PCIe 3.0 x16
TGP 35-95 W (configurable) 50 W
Manufacturing Samsung TSMC
Fabrication Process 8 nm 12 nm
Die Size 200 mm² 200 mm²
Transistor Count 8.7 billion 4.7 billion
Transistor Density 43.5 MTr/mm² 23.5 MTr/mm²

Memory

Memory Type GDDR6 GDDR6
Memory Size 4 GB 4 GB
Memory Clock 1500 MHz 1500 MHz
Effective Memory Speed 12000 Mbps 12000 Mbps
Bus 128-bit 128-bit
ECC No No
Memory Bandwidth

API

DirectX 12 12
Vulkan 1.2 1.2
OpenGL 4.6 4.6
OpenCL 3.0 1.2
CUDA 8.6 7.5
Ray Tracing Yes No
DLSS DLSS 2 No
DisplayPort 1.4a 1.4

Cast your vote

Choose between two graphics cards
33 (73.3%)
12 (26.7%)
Total votes: 45

User opinions

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