Best laptops for Tensorflow | Deep And Machine Learning 2023

Best laptops for Tensorflow

Looking for the best laptops for TensorFlow? Yeah, Of course, because TensorFlow is an open-source and free software library for machine learning. It can be used for various tasks but it has a specific emphasis on training and conception of wide neural networks.

In this article, we will share fundamental information regarding Tensorflow that will help you to develop a basic concept of it. Then we will discuss which laptops are the best laptops for TensorFlow.

TensorFlow was created by the Google Brain team for internal Google use. It was introduced under the Apache License 2.0 in 2015.

TensorFlow can operate on numerous CPUs and GPUs having optional CUDA and SYCL extensions for graphics processing units. It is accessible on 64-bit Linux, macOS, Windows as well as mobile computing programs including Android and iOS.

Its adjustable structure permits its users for the simple deployment of computation across different platforms.

Among the applications for which TensorFlow is the basis, are image-captioning software like DeepDream.

But everything comes with their pros and cons and so TensorFlow, but if you are a professional on using TensorFlow, Deep Learning, or etc then just ignore these pros and cons and move to the main topic.

Pros Of TensorFlow:

TensorFlow provides an interesting multiplatform programming interface that is reliable and stable. 

 With TensorFlow, you can skillfully visualize each part of the graph which is not a choice while using Numpy or SciKit.

Easily Trainable

It is handily trainable on CPU and GPU for allocated computing.

Parallel Neural Network Training

TensorFlow gives pipelining in such a way that we can train many neural networks and several GPUs which gives efficient rise to the models on large-scale systems.


Tensorflow is featured by columns that can be considered red as arbitrators between raw data and therefore, linking input data with your device.


With the help of TensorBoard users are able to examine an entirely different presentation of a model and formulate the changes that are necessary while debugging it.

Open Source

The useful thing about this library is that it is open-source so anyone can utilize it through internet connectivity. people use the library in ways such an amazing way that they bring up a remarkable variety of valuable outputs.

Cons Of TensorFlow:

No GPU support other than Nvidia and only language support

Presently, the only supported GPUs are that of NVIDIA and the only Python which makes it a downside as nowadays there is an uprising of other languages such as Lau.

Lack of Symbolic Loops

The symbolic loop is the most expected when it arrives to variable-length sequences  However, it does not provide this aspect.

But remember, laptops having the following features are reliable for TensorFlow

Choosing Processor For TensorFlow:

For machine learning, you need to choose an Intel Core i7 processor. Nonetheless, an Intel Core i5 processor can operate, however, to assure compatible productivity, you should avoid it. 

Choosing RAM For TensorFlow:

16GB memory is required for TensorFlow. However, if you can consume more, you can go with 32GB RAM as well. but do not go for less than  16GB, because you have to face some problems during multitasking.

Choosing GPU For TensorFlow:

It is an important l component that can alter the whole game.  For TensorFlow, you should only select the laptops having  Nvidia CUDA core enabled GPUs, and have 3.5 or higher computer capability. 

Choosing Storage For TensorFlow:

 A Solid State Drive is suggested for a high-performance laptop. Also, make clear it’s PCIe-based. it will give even high performance than standard SATA SSD. If you do not like to pay more, you can work with hybrid storage.

These are essential features that your laptop must possess if you want to go for Tensorflow. Here, for your convenience, we will enlist the laptops best for Tensorflow.

10 Best Laptops for TensorFlow Ready for you!

  1. CUK ROG Strix G17 – Laptop Best for Tensorflow
  2. Eluktronics MAG-15 – Best laptop for Tensorflow
  3. OMEN 15 –  Best Laptop for Deep Learning
  4. MSI GS65 Stealth –  Best Laptop for Machine Learning
  5. Lenovo ThinkPad P53 – Deep Learning Workstation
  6. Dell XPS 15 9570 – Best Laptop For Big Data Learning
  7. Dell G5 15 – Best Laptop For Data Science
  8. Razer Blade 15 – Best Windows Laptop For Data Analysis
  9. MSI GL65 Leopard – Runner Up
  10. Acer Predator Helios 300 – Runner Up
LaptopsProcessorRAMFor More
CUK ROG Strix G17Intel Core i7-10750H64GB RAMView On Amazon
Eluktronics MAG-15Intel Core i7-9750H64GB RAMView On Amazon
OMEN 15Intel Core i7-10750H32GB RAMView On Amazon
MSI GS65 StealthIntel Core i7-9750H32GB RAMView On Amazon
Lenovo ThinkPad P53Intel Core i7-9750H32GB RAMView On Amazon
Dell XPS 15 9570Intel Core i7-8750H32GB RAMView On Amazon
Dell G5 15Intel Core i7-9750H16GB RAMView On Amazon
Razer Blade 15Intel Core i7-10750H16GB RAMView On Amazon
MSI GL65 LeopardIntel Core i7-10750H16GB RAMView On Amazon
Acer Predator Helios 300Intel Core i7 9750H16GB RAMView On Amazon

CUK ROG Strix G17 – Laptop Best for Tensorflow

CUK ROG Strix Scar 15 Gamer Notebook (NVIDIA GeForce RTX 3080, Intel...
  • Processor: Intel Core i9-12900H Fourteen Core Processor (24MB Cache, 2.5GHz-5.0GHz) 45W
  • RAM: 32GB DDR5 4800MHz | Hard Drive: 2TB NVMe Solid State Drive Gen4
  • Keyboard: Backlit Chiclet Keyboard Per-Key RGB | Operating System: Windows 11 Home x64
  • Graphics: NVIDIA GeForce RTX 3080 8GB GDDR6 | Display: 15.6" WQHD 240Hz 3ms IPS-level Display (2560 x 1440)
  • 32GB RAM / 2TB NVMe SSD Gen4 Upgrades | 3-Year CUK Limited Warranty (View warranty section below for more details.)

While we are talking about the best TensorFlow laptop, the Asus CUK ROG Strix G17 deserves a look. This machine is offering extreme configuration. The Laptop is also one of the very known gaming laptops. It has many unique features plus delivers a very solid performance which can impress you for sure.  The CUK ROG is a  stunning 17-inch gaming laptop that has the svelte design of a Notebook but includes powerful GPU components.

The Asus is offering 10th Generation Intel Core i7-10750H Processor for CUK ROG Strix G17 that has Six Cores and a speed of 2.6GHz-5.0GHz with 12MB of cache memory along with NVIDIA GeForce RTX 2070 dedicated GPU that has it’s own 8GB GDDR6 VRAM. This graphics card is extremely good for deep learning techniques. Despite making a very thin laptop, they have made sure that it doesn’t overheat while working with TensorFlow or any other heavy tasks.

Asus  CUK ROG Strix features 64GB latest DDR4 RAM with a speed of 2933 MHz. The machine is capable of everything that you want to run, whether it’s about any newest game or intense multitasking with programming when it operates alongside with CPU and GPU.

The laptop has an NVMe Solid State Drive. Non-Volatile Memory Express  (NVMe) is an interface protocol built especially for SSD. NVMe works with PCI Express to transfer data to and from SSDs very rapidly. The Device has a maximum storage of 1TB NVMe Solid-State-Drive. The storage can be expanded using M.2 NVMe upgradeable slot.

The Machine comes with a 17.3″ IPS-Level display with a refresh rate of 120Hz which has very minimal bezels. The Full HD Anti-Glare Wide View display provides good brightness and color accuracy.

The chassis is built up of metal and plastic, but somewhat strong chassis. It features the signature for the ROG Strix series, brushed finish on the metal and plastic, also a printed slogan on the base, this laptop’s lid is mounted slightly forwards, which leaves a turtle-shell behind when you open it. Additionally, the Strix G 17 has a profile of 22mm at its thinnest point and 26mm at its thickest. As of the weight with 17-inches is just 2.85kg.

Moving on to the ports, the laptop has three USB Type-A  3.1 Gen. 1 ports, an audio jack, and an HDMI 2.0 port. Fair enough number of ports for your data transfer in and out of the laptop. A fact worth mentioning is that the USB Type-C 3.1 along with the power port are located at the back of the laptop for easy accessibility and for you to keep such wires out of your way.

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Best laptops for Tensorflow
CPU Benchmark
Processor10th Generation Intel Core i7-10750H
Display17.3 Inch Display
Memory64GB DDR4 RAM
Storage1TB NVMe SSD
Operating SystemWindows 10 Home 64 Bit
MaterialMetal + Plastic
  • Pushes the Core i7-10750H to the edge with its decent cooling solution
  • Covers 95% of sRGB and has a great color accuracy
  • Upgradable Storage
  • Behemoth RAM.
  • It has a thick built otherwise it has no cons.

Eluktronics MAG-15 – Best laptop for Tensorflow

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The Eluktronics MAG-15 stakes its claim among the lightest and most value for money 15.6″ powerful laptops in the industry. The most popular MAG-15 is one of the affordable laptops for TensorFlow build-up of magnesium alloy, a lighter but sturdier material, this laptop weighs just 4.15 pounds. Designed in collaboration with Intel, this notebook is a perfect solution for both gamers and users who work with deep neural networks. Long enduring battery life, Thunderbolt 3, next-generation WiFi, loudspeakers, and glass touchpad make laptop’s prominent and premium. Sorry, Lambda your position is gone.

When it comes to Processor, you’ll be getting Intel 9th Generation Core i7-9750H which does a fine job at handling TensorFlow and multitasking without any problems. The processor consists of Six Cores and 12 Threads with clocking between 2.6GHz to 4.5GHz TurboBoost and  12MB L3 Cache.

The laptop has a dedicated NVIDIA GeForce GTX 1660 Ti graphics with a VRAM of 6GB GDDR6 that handles graphics performance and programs that require more than integrated graphics.

Then again, apart from gaming, the MAG-15 can easily handle the heaviest possible multitasking commitments courtesy of the 64GB DDR4 2666MHz RAM.

With a 2TB PCIe NVMe Solid-State-Drive, Laptop has an impressive storage compartment that can store plenty of data and projects of TensorFlow.

MAG-15 has a display panel of 15.6″ in size. The device has a  Narrow Bezel Full HD IPS Display with 1920 x 1080 high resolution. It has a refresh rate of 144Hz and an Anti-Glare screen.

Mag in the Mag-15 stands for Magnesium. The material used for its entire build is magnesium alloy. The Lid and bottom panels both are designed with this magnesium alloy. The next level of the design is known for its strength and lightweight. Mag-15 is lighter due to the lighter material. The Eluktronics Mag-15 has an optical-mechanical tactile keyboard The MAX units are also lightweight and portable. The 15-inch model starts at around 3.8 lbs having 14.03″ x 9.19″ x 0.80″ dimensions.

Mag-15 packs with more user-friendly ports. There is a USB Type-C Thunderbolt  3 port, an HDMI 2.0, and Gigabit Ethernet. On the right side of the Laptop, there is another USB 3.1 port, Kensington Lock slot, and the 3.5mm headphone/microphone jack.

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Best Laptop for Deep Learning
CPU Benchmarks
Processor9th Generation Intel Core i7-9750H
Display15.6 Inch Display
Memory64GB DDR4 RAM
Storage2TB PCIe NVMe SSD
Operating SystemWindows 10 Home 64 Bit
MaterialMagnesium Alloy
  • The display is beautiful and 144hz
  • 2nd SSD slot to expand storage
  • Thunderbolt 3 Ports
  • Optical-mechanical tactile keyboard
  • Affordable.
  • HUGE Storage and RAM.
  • Speakers are located on the bottom so they don’t sound particularly good.

OMEN 15 –  Best Laptop for Deep Learning

The Omen 15 is one of the best gaming laptops you can buy, flaunting a fantastic Full HD performance despite its affordable price. It’s not the best option if you plan on frequently using it outside of the house due to its heavyweight and battery life, but for stay-at-home gamers, this is one of our top recommendations. HP Omen 15 is one of the most popular machines which is coming with NVIDIA GeForce RTX 2070 Super Max-Q graphics; it’s perfect for TensorFlow.

Under the hood, this machine is packed with 10th Generation Intel Core i7-10750H, processor  having 6-Cores with 2.6 GHz base frequency, up to 5 GHz with Intel Turbo Boost Technology

So, it can handle every program especially related to Machine Learning that you throw at it. The HP Omen 15 (2020) is an admirably powerful gaming laptop with NVIDIA GeForce RTX 2070 discrete GPU having 8 GB GDDR6 VRAM with Max-Q for combined performance and efficiency. The Omen provides certain, heavy-duty graphics performance.

The CPU is paired with 32 GB DDR4 SDRAM (2×16 GB, 2 accessible memory slots), clocked at 2933 MHZ  which is easily good enough for everyday work. 

There is a 512 GB PCIe NVMe SSD storage drive mounted in the device that offers solid read and writes speeds of 3,617MB/s and 2,843MB/s.

The Omen’s 15.6-inch display runs at a resolution of 1920×1080. While its contrast ratio of 1,476:1 is quite decent, its maximum brightness is 231.7 nits Meanwhile, the 90% sRGB color gamut coverage means digital designs and projects are presented reasonably accurately. Full HD display with 300Hz refresh rate and 3 millisecond response time in addition to 78% screen to body ratio, makes HP Omen 15’s screen perfect for both gamers and users of Tensorflow. 

Talk about design the exterior is made from dark grey aluminum that is anodized on the lid and smooth on the inside. The hinges are discreet, the speaker grille uses a neat finish triangular pattern, and the red logo has been replaced with a new stylish, shining diamond that gives the laptop a premium look. There is no doubt, this gaming notebook is the most expensive one, but if you’re looking for a portable and powerful laptop for TensorFlow in 2023, the HP Omen 15 would be the best option.

HP made good use of all that physical space with a pretty good port selection. On the right, there are two USB 3.0 Type-A ports in addition to a mini Display port, and a USB Type-C port that is capable of 5Gbps speeds. The other side supports another USB 3.0  port, a full-size SD card reader, an HDMI 2.0 port, and an ethernet port. This is accompanied by also a headphone jack.

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Best laptops for Tensorflow
CPU Benchmark
Processor10th Generation Intel Core i7-10750H
Display15.6 Inch Display
GPUNVIDIA GeForce RTX 2070 Super Max-Q
Memory32GB DDR4 RAM
Storage512 GB PCIe NVMe SSD
Operating SystemWindows 10 Home 64 Bit
  • Attractive metal design.
  • Comfortable RGB keyboard.
  • Solid gaming performance for the price.
  • A Good Option For TensorFlow.
  • Fairly heavy.
  • Not a long-enduring battery life.

MSI GS65 Stealth –  Best Laptop for Machine Learning

MSI GS65 Stealth-432 15.6" Gaming Laptop, 240Hz Display, Thin Bezel, Intel...
  • Display: 15.6" Fhd, Anti-Glare Wide View Angle 240Hz 8ms 1920x1080 16: 9
  • Graphics: NVIDIA GeForce RTX2070 Max-Q 8G GDDR6
  • Processor: Intel Core i7-9750h 2.6 - 4.5GHz; Nahimic 3.0 Surround Sound virtualization
  • Memory: 32GB (16G*2) DDR4 2666MHz 2 Sockets; Max Memory 64GB
  • Storage: 1TB NVMe SSD

The GS65 Stealth is the latest gaming laptop, maintaining its black-and-gold color scheme. It gives the machine a premium look and combined with the restraint in other aspects of the design, it has a classy-looking chassis. The MSI GS65 Stealth is one of the best laptops you can get for machine and deep learning. It basically checks all the boxes for it to handle your tasks and some more. The performance is top-level.

The Stealth is one of the first gaming laptops to launch with Intel’s new 9th Gen Intel Core i7-9750h processor clocking between 2.6 – 4.5GHz. 

The discrete Graphics Processing Unit, NVIDIA GeForce RTX 2070 Max-Q is powerful enough to deliver good frame rates at the highest settings with 8G GDDR6 of VRAM.

Stealth 432 is equipped with 32GB of DDR4 RAM that can be upgraded to a maximum of 64GB. This will not only speed things up but also delivers high performance.

MSI offers storage of 1TB NVMe SSD in GS65 Stealth, which is an adequate, if not ideal, amount for storing a lot of files and data.

The Full HD display measures 15.6 inches diagonally, and it supports some of the fancy gaming features of the moment. The panel is capable of refreshing at 240Hz, giving gamers the room for higher frame rates and also gives a smooth display to users who work with deep learning tools. A narrow screen bezels help the MSI GS65 achieve its shape

The complete chassis of the Laptop is made from black, matte aluminum alloy. MSI Stealth employs a printed black-and-gold emblem. A diamond-cut golden strip lines the top of the lid. The company also added some gold like color to the side vents for the elegant flash of color.

Apart from the ASUS book series that have a digital numeric pad. This Laptop has a glass touchpad with a huge surface area, which is refreshing to see and better for users. Unless you are a hardened attached mouse user, you will be glad to use the touchpad.

The device is loaded up with an admirable port selection, On the left, there are two USB A ports, microphone and headset jacks, and an Ethernet jack. The right flank includes the power connector, USB Type-A port, a USB Type-C port with Thunderbolt 3 support, and an HDMI port.

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Best laptop for Tensorflow
CPU Benchmarks
Processor9th Generation Intel Core i7-9750H
Display15.6 Inch Display
GPUNVIDIA GeForce RTX 2070 Max-Q
Memory32GB DDR4 RAM
Storage1TB NVMe SSD
Operating SystemWindows 10 Home 64 Bit
  • Sharp design.
  • High-quality, portable build.
  • 144Hz display.
  • Per-key backlighting.
  • SteelSeries Per-Key RGB Keyboard.
  • Dynaudio Speaker System
  • The underside gets overheat sometimes.
  • Flexes in certain parts.
  • Expensive.

Lenovo ThinkPad P53 – Deep Learning Workstation

In case you are looking for the best notebook for your Machine Learning indulgences, and Tensorflow, the Lenovo ThinkPad P53 is the perfect gadget to invest in. With a powerful Intel processor and NVIDIA Quadro graphics, the 15.6″ ThinkPad delivers great performance. And with tons of storage space on board, this device is a great choice for engineers, designers, and architects.

With a processor choice of Intel 9th Generation Core i7-9750H with the speed of 2.60GHz up to 4.50 GHz. Having, 6-Cores and 12 MB SmartCache memory the ThinkPad P53 delivers pure power. 

Along with a dedicated NVIDIA Quadro T1000 GPU, the ThinkPad P53 is more than capable of rendering VR and handling data-intensive AI projects.

Lenovo offers 32GB of DDR4 SDRAM that can handle extensive performance programs and tools such as TensorFlow when operating with NVIDIA Quadro GPU and Ninth Generation Processor.

Talking about Storage, Thinkpad P53 features an eye-catching huge 1TB SATA Solid State Drive that can store, copy, and read data extremely fast. 

The ThinkPad P53 includes a 15.6-inch diagonal display with 500-nit brightness, which is pretty bright. The Full HD screen has a resolution of 1920 x 1080 with a 16:9 Aspect Ratio. Outdoor usage is great, The screen also supports Dolby Vision HDR400, and it supports 72% color gamut.

Because you need reliability and durability, the ThinkPad P53 is tested against 12 military-grade requirements and more than 200 quality checks to ensure it runs safely in extreme conditions P53 Workstation comes in black, just like most ThinkPads, and it is made of glass fiber reinforced plastic and aluminum. The lid features a standard ThinkPad logo stamped in the corner. While it’s probably the most powerful ThinkPad that is ideal for tools like TensorFlow.

While the Thinkpad’s frame is definitely thin, it still has plenty of ports. On the left side, there are 2 USB 3.1 Type-A ports,. There’s also an HDMI 2.0, which allows you to output to 4K displays at 60Hz without a problem. On the back, you’ll find an Ethernet port, a  power port, and finally two Thunderbolt 3 ports.

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Best laptop for Tensorflow
CPU Benchmarks
Processor9th Generation Intel Core i7-9750H
Display15.6 Inch Display
GPUNVIDIA Quadro T1000
Memory32GB DDR4 RAM
Operating SystemWindows 10 Pro 64 Bit
MaterialAluminum + Plastic
  • Durable case.
  • Two Thunderbolt 3 ports.
  • Bright FHD and 4K screen options with Dolby HDR support.
  • Configurable and mostly serviceable.
  • Lots of security options (fingerprint scanner, IR camera, TPM, vPro).
  • Expensive.
  • Bit Heavy.

Dell XPS 15 9570 – Best Laptop For Big Data Learning

Dell XPS 15 9570 15.6" 4K UHD TouchScreen Laptop: Core i7-8750H, 32GB RAM,...
  • Windows 10 Home4K Ultra HDNVIDIA GeForce GTX 1050 Ti 4GB dedicated graphics; 8th Gen Intel Core i7-8750H processor; 15.6" display;...

Dell XPS stands for Extreme Performance System. Dell XPS 15  is completely furnished with efficient tools so you crave your power of creativity much fast and in a better way just by using this version of Dell.

Dell XPS  is powered by an 8th generation Intel Core i7-8750H 6 cores processor. More cores are an indication of enhanced performance in tools like TensorFlow. Dell has a high-end Intel core processor. Its base clock speed can be boosted up to   4.1 GHz with turbo boost technology.

The laptop offers 4GB NVIDIA GeForce GTX 1050 Ti Graphics that makes it superfast for high performance. It offers a 9MB cache that makes the machine have popular among users.

The new Dell XPS  laptop provides 32GB DDR4 2666MHz RAM. The essential memory power in pair with a powerful processor gives an incredible and the best performance to its users. This feature facilitates and enables you to run high-end multimedia and entertainment apps without suffering any difficulty.

Storage capability has an important role in enhancing performance,  working capability, and storing a bigger number of both graphics and files.

The  1TB M.2 PCIe Solid State Drive storage capability gives considerable space in order to save files,  movies, and YouTube videos.

The new Dell XPS  is a thin device with a 15.6inch Touchscreen InfinityEdge display.  With max resolution 3840 x 2160  by which users can infer the sort of brightness and detailing it gives to them. By the quality of the display, it is providing you, you are able to work outside on sunny days. Dell has made every reasonable action in order to generate a picture-perfect display.

This is made up of aluminum metal, having ultimate durability along with experienced and clean designs.

On the left side, the XPS 9570 is giving a Thunderbolt 3 port, HDMI, and USB Port, having a headphone jack. Additionally, there is one USB port on the left side.  There is a shortage of connectivity options, however, it is reasonable for ultrabooks and portable laptops.  All the above specs make this Laptop is highly recommended for users of Machine learning and Deep neural networks.

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Best Laptop for Machine Learning
CPU Benchmarks
Processor8th generation Intel Core i7-8750H
Display15.6 Inch Touchscreen
Memory32GB DDR4 RAM
Storage1TB M.2 PCIe SSD
Operating SystemWindows 10 Home 64 Bit
  • Amazing 4K touchscreen.
  • Strong performance.
  • Excellent built with a metal body.
  • portable design.
  • Attains latest Thunderbolt 3 port, and fingerprint reader.
  • Unusually Expensive.

Dell G5 15 – Best Laptop For Data Science

Dell G5 15 Gaming Laptop (Windows 10 Home, 9th Gen Intel Core i7-9750H,...
  • Lead the pack with an elegant sleek design that keeps heads turning
  • An innovative dual-fan cooling system with an advanced thermal design ensures that your system stays cool as the action heats up
  • 15.6-inch FHD (1920 x 1080) anti-Glare LED backlight non-touch narrow border IPS display
  • NVIDIA GeForce GTX 1650 with 4GB GDDR5 Graphics
  • 9th Gen Intel Core i7-9750h (12MB Cache, up to 4. 5 GHz, 6 Cores)

Dell’s G5 15 gaming laptop is a huge success. The latest system has a much-improved 15.6-inch, display. The new design is also sure to be a crowd-pleaser, which flaunts a clean white lid and a neat glass window on the bottom. Also noticeable is the G5 15’s new 9th Gen Intel Core i7 CPU and GTX 1650 GPU, which both offer good graphics and remarkable performance. It has excellent specifications that are suitable for machine learning, also can run the heaviest algorithms and work with large datasets.

Under the hood, the Dell is a solid machine. Armed with a 9th Generation Intel Core i7-9750H, processor turbo boost up to 4.5 GHz and contains 12MB Cache memory. The 6-core Coffee Lake-based chip has a 45-watt TDP and can process up to 12 threads at once with the help of Hyper-Threading.

The NVIDIA GeForce GTX 1650 Graphics with 4GB GDDR5 should provide enough performance even for demanding applications like TensorFlow

The Dell Offers 16GB DDR4 RAM for G5 15 has enough power to run anything including the most demanding tasks.

There’s a storage combo that includes dual drives with 256GB NVMe Solid State Drive and 1TB SATA Hard Drive with read/write speed of 5400 rpm. The storage setup is a little unusual but offers high performance for a limited number of applications, plus more capacity for everything else.

The  Laptop’s wide Full HD 15.6-inch, display with 1920 x 1080 resolution is sharp, vivid, and reasonably bright. Dell also offers an anti-Glare, non-touch narrow border display.

The Intel’s six-core CPU, Nvidia GTX graphics, and the 1080p LCD panel combine to deliver properly smooth frame rates at high settings Dell G5 15 5590 mostly impresses. 

The chassis is a mix of metal and plastic and feels extremely Classic. The monochrome keyboard is absolutely rock solid. 

The G5 15 has plenty of ports for connecting to monitors, docks, and peripherals while charging other devices. The port count is another highlight. The left side of the Laptop holds a Noble Lock slot, the power jack, an RJ45 port, one USB 3.1 port, and an SD card reader, whereas the other side features HDMI 2.0 port, two USB 3.1 ports, and a headphone jack.

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Best laptop for Tensorflow
CPU Benchmarks
Processor9th Generation Intel Core i7-9750H
Display15.6 Inch Display
Memory16GB DDR4 RAM
Storage256GB SSD + 1TB HDD
Operating SystemWindows 10 Home 64 Bit
MaterialMetal + Plastic
  • NVIDIA GeForce GTX 1650 with 4GB GDDR5 graphics offer a powerful gaming experience.
  • Dual-fan cooling prevents your system from overheating.
  • Affordable.
  • Value For Money.
  • Just 16GB RAM.
  • Bulky Desgin.

Razer Blade 15 – Best Windows Laptop For Data Analysis

Razer Blade 15 Base Gaming Laptop 2020: Intel Core i7-10750H 6-Core, NVIDIA...
  • Aspect Ratio:16:9
  • More power: The 10th Gen Intel Core i7-10750H processor provides the ultimate level of performance with up to 5.0 GHz max turbo...
  • Ray-tracing: The NVIDIA GeForce RTX 2060 is powered by the NVIDIA Turing GPU architecture and brings cinematic-quality rendering...
  • More frames: Incredible performance paired with the fast 144Hz 15. 6" full HD thin bezel display helps edge out the win.
  • Thin and compact: The CNC aluminum unibody frame houses incredible performance in the most compact footprint possible, while...

The Razer Blade 15, is more than competent for annihilating any PC game you run on it. Being fashionable enough to certainly justify more expense for anyone seeking an elegant gaming device. The laptop is manufactured with an excellent symmetry of power and portability.

The Razer Blade 15 is an ultra-compact powered laptop featured by Intel Core i7-10750H having a 6-Core processor to provide incredible performance in Machine Learning tools like TensorFlow along with portability. Its clock speed can be extended up to 5.0 GHz with turbo boost technology. The NVIDIA GeForce RTX 2060 is powered by the NVIDIA Turing GPU architecture that  gives rise to high quality visual for  the most visually intense games

The laptop has 16GB DDR4 SDRAM. The combination of the main memory 6cores processor provides the user best performance. The machine makes it possible to run multimedia and other heavy apps at great speed.

Razer offers storage of  512GB solid-state drive that is considered a huge space for storing files. Huge Storage capacity plays an important part in speeding up performance and storing a bigger number of both graphics and files.

Razer Blade 15 offers 15.6 Full HD with a resolution 1920 x 1080 Pixels display. It has a thin-bezel display that enables edge out the win. The colors are intense, and the contrast is incredible 

The CNC aluminum body frame delivers extraordinary performance in the most compact footprint. Razer is remarkably durable and just 0.78 inches thin inches, The precise crafting of aluminum chassis is made it much  nice at the first glance

The laptop is fully packed with several ports to facilitate its users. Such as  Wi-Fi 6, Gigabit Ethernet and Thunderbolt 3, USB type-A and type-C ports as well as offers  HDMI, for a desktop-class experience.

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Best laptops for Tensorflow
CPU Benchmark
Processor10th Generation Intel Core i7-10750H
Display15.6 Inch Display
Memory16GB DDR4 RAM
Storage512GB SSD
Operating SystemWindows 10 64 Bit
  • Powerful performance.
  • Multiple ports.
  • Elegant design.
  • Easy to upgrade.
  • TopRated Windows Laptop.
  • No Cons.

MSI GL65 Leopard – Runner Up

MSI GL65 Leopard 10SFK-062 15.6" FHD 144Hz 3ms Thin Bezel Gaming Laptop...
  • 15.6" FHD IPS-Level 144Hz 72%NTSC Thin Bezel close to 100%Srgb NVIDIA GeForce RTX 2070 8G GDDR6
  • Intel Core i7-10750H 2.6-5.0GHz Intel Wi-Fi 6 AX201(2 x 2 ax)
  • 512GB NVMe SSD 16GB (8G*2) DDR4 2666MHz 2 Sockets Max Memory 64GB
  • USB 3.1 Gen2 Type C 1 USB 3.2 Gen1 3 Steel Series per-Key RGB with Anti-Ghost key+ silver lining 720p HD Webcam
  • Win10 Multi-language Giant Speakers 3W x 2 6 cell (51Wh) Li-Ion 230W

Soft finishing from the back lid, a colorful and popular red MSI logo along with large airflow outlets for rapid cooling provides the modern MSI GL65 gaming laptop an overall more bright look. This all suits well with its execution and features. Its remarkable characteristics make it one of the most preferred machines for users of TensorFlow.  

MSI GL65 Leopard comes with a strong and latest 10th generation core i7-10750H, having 6 cores and 12 threads processors that can perform every job professionally and perfectly. Its base frequency of 2.6 GHz can be enhanced up to 5.0 GHz. Its 12 MB of cache memory is sufficient to deal with all the extra cookies and give you lag-free and efficient performance.

The all-new GL65 Leopard laptop gets coupled with the supreme and powerful NVIDIA GeForce RTX 2070. An 8GB massive beast that gives the best graphics for high-end AAA titles. Whether it is a huge rendering job or a sharp performance match, RTX 2070 covers it all.

MSI GL65 Leopard provides a memory of 16GB DDR4 at 2666MHz. It lessens the time to access the data and in this way, users do not have to face any work pressure. It also improves the quality of the system.  

The machine offers a storage capacity of 512GB NVMe solid-state Drive. This works in a better way for the users and reduces their anxiety regarding storing their important data.

MSI GL65 gaming laptop comes with a massive 15.6-inch full HD 1080p screen that gives high-quality visuals having vigorous color schemes. 72% NTSC thin bezel offers the best viewing angles with minimum warping from bezels. 144Hz screen is generously for responsive techniques to get you to accomplishment.

It is designed with a graceful steel series RGB keyboard with a silver lining that improves its overall beauty and functionality.

The device provides various ports to its users such as 3x USB 3.2 Generation 1 | 1x USB 3.1 Generation 2 Type -C and HDMI that supports 4K at  30Hz  enable you to attach it with several other electronic devices.   

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Best laptops for Tensorflow
CPU Benchmark
Processor10th generation Intel Core i7-10750H
Display15.6 Inch Display
Memory16GB DDR4 RAM
Storage512GB NVMe SSD
Operating SystemWindows 10 Home 64 Bit
MaterialAluminum + Plastic
  • Stylish and thin design.
  • Powerful performance.
  • Per-key backlighting.
  • Value to Money.
  • Affordable.
  • I would recommend to go with the above laptops especially for TensorFlow.

Acer Predator Helios 300 – Runner Up

Acer Predator Helios 300 Gaming Laptop PC, 15.6" Full HD 144Hz 3ms IPS...
  • 9th Generation Intel Core i7 9750H 6 Core Processor (Up to 4.5GHz) with Windows 10 Home 64 Bit
  • NVIDIA GeForce GTX 1660 Ti Graphics with 6GB of dedicated GDDR6 VRAM
  • 15.6 inches Full HD (1920 x 1080) Widescreen LED backlit IPS Display (144Hz Refresh Rate, 3ms Overdrive Response Time, 300nit...
  • 16GB DDR4 2666MHz Memory, 256GB PCIe NVMe SSD (2 x PCIe M.2 Slots; 1 Slot Open for Easy Upgrades) and 1 Available Hard Drive Bay
  • Backlit Keyboard; LAN: Killer Ethernet E2500 10/100/1000 Gigabit Ethernet LAN; Wireless: Killer DoubleShot Pro Wireless AC 1550...

Ready to fight and loyal for heavy battle, the Acer Predator Helios 300 plunges you into the game with everything you desire. With an amazing blend of smart and reasonable characteristics, Acer  Predator Helios 300 Gaming Laptop is devastatingly powerful.

Acer Predator is powered by 9th Generation Intel Core i7 9750H having  6 Core Processors. Its primary clock speed is  2.6GHz that can be extended with Turbo Boost Technology up to 4.5GHz. configuration with  NVIDIA GeForce GTX 1660 Ti dedicated graphics that has with  VRAM of  6GB GDDR6.

Acer provides 16GB DDR4 with 2666MHz Memory that is sufficient to run the system and programs like TensorFlow in the best way. With this capability, users can get access to their required data in no time.

The laptop enables its users to store their files, images, and videos without getting bothered about the deficiency of space. Because Acer Predator provides 256GB PCIe NVMe Solid-state drive to its users.

Acer predator is an excellent device having  15.6 inches  IPS display eligible for achieving up to 300 nits of brightness. With max resolution fix at 1920 x 1080, users can imagine the kind of brightness that it will give to them. Its refresh rate is 144Hz 3ms.

The machine is manufactured with red accents and brushed aluminum with the plastic bottom as a major element and its keyboard is very comforting in nature. The build quality is very strong and valid the predator 300 comes with a metal chassis. Also, you are attaining all the latest features by it.

Acer predators offer a  decent connection facility to its users as it has USB 3.1 Type- C Generation  2 port, 3 USB 3.1 Generation  1 Ports along with One with Power-off Charging. It has  1 HDMI 2.0 Port with HDCP Support and  1 Mini Display Port.

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Best laptop for Tensorflow
CPU Benchmarks
Processor9th Generation Intel Core i7 9750H
Display15.6 Inch Display
Memory16GB DDR4 RAM
Storage256GB PCIe NVMe SSD
Operating SystemWindows 10 Home 64 Bit
MaterialAluminum + Plastic
  • Reasonable Battery Life.
  • Extraordinary full High Definition IPS display with 144Hz along 72 percent NTSC color gamut.
  • Accessible price.
  • Good design.
  • Easily upgradable design.
  • Loud fans.
  • Bulky.
  • Not Easy to carry.


What Are The Best Laptops For TensorFlow?

Well after our research, we found that these are the best laptops for TensorFlow:

Eluktronics MAG-15
CUK ROG Strix G17
MSI GS65 Stealth-432
Lenovo ThinkPad P53
Dell XPS 15 9570
Dell G5 15
Razer Blade 15
MSI GL65 Leopard
Acer Predator Helios 300

How To Choose A Processor For TensorFlow?

There is no need to say that if you are using machine learning and programming, you must go for an Intel Core i7 processor. Nonetheless, an Intel Core i5 machine can operate it, however,  to assure compact productivity, you should not use it if it’s feasible. Further, you must choose Intel’s “H” product line processor for decent performance and resist low-watt series (U and Y).

How To Choose RAM Capacity For TensorFlow?

Users who want to go for Tensorflow often ask that what should be the standard of Ram for it. Generally, it is recommended that 16GB memory is needed for the best use of  TensorFlow. Yet, if you are willing to spend more, you may go with 32GB RAM or 64GB for future-proofing. One thing must keep in mind, do not go below 16GB,  because of it you may have to face certain problems while multitasking.

How To Choose A Storage Capacity For TensorFlow?

At least 1TB of storage is needed as the datasets incline to get bigger and larger day by day. If your system is with SSD a minimum of 256 GB is instructed. Then again if there is less storage you can go for Cloud Storage Options. Here you can attain machines with high GPUs even.

How To Choose An Operating System?

Users have a general question about the Operating System. So it is recommended that you can go for Linux, however, Windows and macOS are both able to run Virtual Linux Environment and you can work on those systems also.

Can I Go For AMD Graphics?

Not at All, AMD Graphics are good but for gaming, because TensorFlow really needs CUDA Cores, so you have to go with NVIDIA’s graphics because they are really ahead in this CUDA architecture.

Other Laptops that We didn’t Add To the List

If none of the included laptops got your interest, then we’ve compiled a list of all laptops that we chose to during our research!

Asus ROG Zephyrus G15AMD Ryzen 7 5800HS / NVIDIA GeForce RTX 306016GB / 1TB SSD15.6″ FHD 240Hz IPS4.19 lbs
Acer Nitro 5Intel Core i7-11800H / NVIDIA GeForce RTX 306016GB / 512GB SSD15.6″ FHD 144Hz IPS4.85 lbs
HP Spectre x360 14Intel Core i7-1165G7 / Intel Iris Xe Graphics16GB / 512GB SSD13.5″ FHD IPS Touch2.95 lbs
MSI GE76 RaiderIntel Core i7-11800H / NVIDIA GeForce RTX 307032GB / 1TB SSD17.3″ FHD 240Hz IPS6.39 lbs
Gigabyte AERO 15 OLEDIntel Core i7-11800H / NVIDIA GeForce RTX 307016GB / 512GB SSD15.6″ UHD AMOLED4.4 lbs
Lenovo Legion 5 ProAMD Ryzen 7 5800H / NVIDIA GeForce RTX 307016GB / 512GB SSD16″ QHD 165Hz IPS5.4 lbs
Dell XPS 13 9310Intel Core i7-1185G7 / Intel Iris Xe Graphics16GB / 512GB SSD13.4″ FHD+ IPS Touch2.8 lbs
ASUS TUF A15AMD Ryzen 7 5800H / NVIDIA GeForce RTX 306016GB / 1TB SSD15.6″ FHD 144Hz IPS5.07 lbs
Acer Swift 3AMD Ryzen 7 5700U / AMD Radeon Graphics16GB / 1TB SSD14″ FHD IPS2.65 lbs
LG Gram 16Z90PIntel Core i7-1165G7 / Intel Iris Xe Graphics16GB / 1TB SSD16″ WQXGA IPS2.62 lbs
Lenovo ThinkPad X1 YogaIntel Core i7-1185G7 / Intel Iris Xe Graphics16GB / 512GB SSD14″ FHD IPS Touch2.99 lbs
Dell Inspiron 15 5518Intel Core i7-11800H / NVIDIA GeForce MX45016GB / 512GB SSD15.6″ FHD IPS Touch3.93 lbs
MSI Summit E15Intel Core i7-1185G7 / NVIDIA GeForce GTX 165016GB / 1TB SSD15.6″ FHD IPS3.97 lbs
ASUS ROG Zephyrus M16Intel Core i9-11900H / NVIDIA GeForce RTX 307032GB / 1TB SSD16″ QHD 165Hz IPS4.2 lbs
Lenovo Legion 7Intel Core i7-11800H / NVIDIA GeForce RTX 308032GB / 1TB SSD16″ QHD 165Hz IPS5.51 lbs
MSI Creator Z16Intel Core i9-11900H / NVIDIA GeForce RTX A500032GB / 2TB SSD16″ 4K UHD IPS4.63 lbs
Acer ConceptD 7Intel Core i7-11800H / NVIDIA GeForce RTX A500032GB / 1TB SSD15.6″ 4K UHD IPS4.63 lbs
ASUS ZenBook Pro DuoIntel Core i9-11900H / NVIDIA GeForce RTX 307032GB / 1TB SSD15.6″ 4K OLED Touch5.5 lbs
HP ZBook Fury G8Intel Core i9-11950H / NVIDIA RTX A500032GB / 1TB SSD17.3″ 4K IPS6.2 lbs
Dell Precision 7560Intel Core i9-11950H / NVIDIA RTX A500032GB / 1TB SSD15.6″ 4K UHD Touch4.36 lbs
Razer Blade Pro 17Intel Core i7-11800H / NVIDIA GeForce RTX 308032GB / 1TB SSD17.3″ 4K 120Hz IPS Touch6.06 lbs
Gigabyte AERO 17 HDRIntel Core i9-11980HK / NVIDIA RTX 308032GB / 1TB SSD17.3″ 4K HDR IPS5.95 lbs
ASUS ProArt StudiobookIntel Core i9-11950H / NVIDIA RTX A500032GB / 2TB SSD16″ WQXGA IPS5.51 lbs


TensorFlow is an open-source software library to learn machine language. Its specific priority is to train and to infer the deep neural networks. To run TensorFlow on a laptop, it must have certain specialties. For your convenience, we have mentioned all the features in detail and also we have provided you a list of the Best laptops for Tensorflow. Hope so this article has been proven very supportive for you. Best of luck and have great fun.

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