Intel Arc 140V vs GeForce RTX 4050 Laptop

We performed a head-to-head comparison of the Intel Arc 140V with 1024 shaders against the 1 year and 7 months older GeForce RTX 4050 Mobile 6 GB that utilizes 20 pipelines and 2560 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
Energy Efficiency
Power consumption efficiency in different scenarios
NanoReview Final Score
Overall video card score

Key differences

Key distinctions and advantages of RTX 4050 Mobile over Arc 140V
Reasons to consider the Intel Arc 140V
  • Manufactured using a more efficient 3 nm process technology
Reasons to consider the GeForce RTX 4050 Laptop
  • 2.9x higher maximum theoretical performance (12.1 vs 4.2 TFLOPS)
  • Includes 6 GB of dedicated GDDR6 memory
  • Supports Nvidia DLSS 3 technology
  • Achieves 2.7x more points in the GeekBench 6 Compute test (81K vs 30K)
  • Has 2.5x more shading units (2560 vs 1024)
  • Features 80 tensor cores for effective deep learning and AI workloads

Gaming Performance

Frame rate comparison across popular AAA titles at different resolutions

Games

FPS Table
Forza Horizon 5 -
107
66
56
35
The Witcher 3 -
117
91
67
34
Counter-Strike 2 -
167
126
88
43
Far Cry 6 -
87
79
59
32
Hogwarts Legacy -
62
52
34
20
CoD: Modern Warfare III -
75
68
44
30
Ghost of Tsushima -
57
45
33
17
Cyberpunk 2077 -
61
57
34
13
Shadow of the Tomb Raider -
98
90
62
32
Average FPS by Resolution
1080p High - 92
1080p Ultra - 75
1440p Ultra - 53
4K Ultra - 28
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 3715 8212
Solar Bay - 35375
Port Royal - 4624
Fire Strike - 21909
Wild Life Extreme - 15492
Night Raid - 84848
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
30059
81436
Background Blur 73.6 img/sec 141.4 img/sec
Face Detection 39 img/sec 84.1 img/sec
Horizon Detection 0.79 Gpixels/sec 3.07 Gpixels/sec
Edge Detection 1.11 Gpixels/sec 3.91 Gpixels/sec
Gaussian Blur 1.6 Gpixels/sec 3.85 Gpixels/sec
Feature Matching 0.38 Gpixels/sec 1.1 Gpixels/sec
Stereo Matching 107.1 Gpixels/sec 325.9 Gpixels/sec
Particle Physics 4521.5 FPS 11008.8 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
5139
14217
G2D Mark 656 622
DirectX 11 38 FPS 129 FPS
DirectX 12 28 FPS 60 FPS
GPU Compute 2768 Ops/s 5847 Ops/s
Sources: PassMark [5], [6]4446 & 14311 samples

Blender

Rendering performance test for 3D modeling
Blender GPU
561.81
2568.81
Sources: Blender [9], [10]89 & 2080 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Intel Arc 140V
DateBenchmarkResult
📘 2026-04-15 -> maheshkondrajuGeekbench 6 OpenCL31387
GeForce RTX 4050 Laptop
DateBenchmarkResult
📘 2026-07-17 (kam)Geekbench 6 OpenCL93074
📘 2026-07-15 (Mr._.Flexo)Cinebench 20248096
📘 2026-07-02 (SuperDuck)Geekbench 6 OpenCL90032
📘 2026-05-18 (TheMan)Cinebench 20248523
📘 2026-05-15 -> ZayGeekbench 6 OpenCL89343

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) - 6233
Image Segmentation (HP) - 16395
Image Super Resolution (Q) - 18240
Face Detection (HP) - 30758
Pose Estimation (Q) - 61300
Text Classification (SP) - 3124
Machine Translation (HP) - 4357
Object Detection (SP) - 7812
Depth Estimation (Q) - 29192
Style Transfer (SP) - 117759
Framework - ONNX
Backend - DirectML
Sources: Geekbench [9], [10]

Specifications

Technical specifications of Intel Arc 140V and GeForce RTX 4050 Laptop

General

Vendor Intel Nvidia
Build Integrated Discrete
Released September 4, 2024 February 22, 2023
Case Laptop Laptop
Purpose Generic Gaming
Segment Mid-range Entry-level
Architecture Xe2 Ada Lovelace
GPU Codename Lunar Lake iGPU AD107 (GN21-X2)
Rival Equivalent - - Radeon RX 7700S
Successor - - GeForce RTX 5050 Laptop
Recommended CPU - Intel Core Ultra 7 256V or above - Intel Core Ultra 7 155H or above
Used in CPUs - Intel Core Ultra 9 288V
- Intel Core Ultra 7 268V
- Intel Core Ultra 7 266V
- Intel Core Ultra 7 258V
- Intel Core Ultra 7 256V
-
Laptop GPU ranking (70th and 65th place)

Graphics Processing Unit

Base Clock 600 MHz 1140-2070 MHz (configurable)
Boost Clock 1950-2050 MHz (configurable) 1605-2370 MHz (configurable)
Shading Units 1024 2560
Texture Mapping Units (TMUs) - 80
Render Output Units (ROPs) - 32
Compute Units (Pipelines) - 20
Tensor Cores No 80
Ray-tracing Cores 8 20
L1 Cache - 128KB per cluster
L2 Cache - 12MB shared
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate - 51-76 GPixel/s
Texture Fill Rate - 128-190 GTexel/s
FLOPS (FP32)
4-4.2 TFLOPS
8.2-12.1 TFLOPS

Physical

Interface Ring Bus PCIe 4.0 x16
TGP 30 W 35-140 W (configurable)
Manufacturing Intel TSMC
Fabrication Process 3 nm 5 nm
Die Size - 156 mm²
Transistor Count - 18.9 billion
Transistor Density - 121.15 MTr/mm²
Max. Temperature 100°C -

Memory

Memory Type System Shared GDDR6
Memory Size - 6 GB
Memory Clock - 2000 MHz
Effective Memory Speed - 16000 Mbps
Bus - 96-bit
ECC No No
Memory Bandwidth
n/a
192 GB/s

API

DirectX 12.2 12
Vulkan - 1.3
OpenGL 4.6 4.6
OpenCL 3.0 3.0
CUDA No 8.9
Ray Tracing Yes Yes
DLSS No DLSS 3
DisplayPort 2.1 1.4a

Cast your vote

Choose between two graphics cards
18 (34.6%)
34 (65.4%)
Total votes: 52

User opinions

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