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Lenovo

Lenovo ThinkPad P53 i7-9750H 64GB 256GB NVME Quadro T2000 4GB 15.6" FHD laptop

SKU CH-0S2E-XJ993

A 15.6 inch FHD IPS mobile workstation with an Intel Core i7-9750H hexa-core processor, 64GB DDR4 RAM, 256GB NVME storage and NVIDIA Quadro T2000 4GB graphics for rendering and AI workloads

  • ColorBlack
  • Other FeaturesFingerprint reader
  • Operating SystemWindows 10 Pro
  • CPU TypeIntel Core i7
  • Processor Name2.60 GHz
  • Turbo Frequency4.5
  • Hexa-core i7-9750H reaches 4.5 GHz turbo for heavy workloads
  • 64 GB DDR4 memory handles large datasets and multitasking
  • 6" FHD IPS panel at 500 nits with HDR Dolby Vision
  • NVIDIA Quadro T2000 4 GB GPU accelerates professional 3D and rendering
  • Fingerprint reader plus dTPM encryption secures data and access

Mobile workstation for rendering and AI

The Lenovo ThinkPad P53 is a 15.6 inch mobile workstation built for rendering and data-intensive AI projects. It runs on an Intel Core i7-9750H hexa-core processor with a 4.5 GHz turbo frequency and 12MB cache. The system includes 64GB DDR4 memory and a 256GB NVME drive. An NVIDIA Quadro T2000 GPU with 4GB video memory handles professional graphics workloads.

Factory-assembled laptop with fingerprint security

This unit arrives fully assembled as a complete laptop, so no internal hardware installation is required. Windows 10 Pro 64-bit is pre-installed and ready to use. A fingerprint reader provides biometric login without extra setup. The main limitation for later changes is that internal upgrades are restricted to the memory and storage slots accessible by the user.

FHD IPS display and WiFi-6 connectivity

The 15.6 inch panel uses IPS technology at a 1920 x 1080 resolution with 500 nits brightness and HDR Dolby Vision support. Colour coverage reaches 72 percent gamut on a non-touch, anti-glare surface. Wireless connectivity relies on WiFi-6 certification for higher capacity in crowded environments. Buyers who need a touchscreen, higher resolution, or larger colour volume should consider other models.

주요 특징

  • Hexa-core i7-9750H reaches 4.5 GHz turbo for heavy workloads
  • 64 GB DDR4 memory handles large datasets and multitasking
  • 6" FHD IPS panel at 500 nits with HDR Dolby Vision
  • NVIDIA Quadro T2000 4 GB GPU accelerates professional 3D and rendering
  • Fingerprint reader plus dTPM encryption secures data and access

사양

BrandThinkPad
SeriesP53
ModelThinkpad
Part Number20QN
ColorBlack
Other FeaturesFingerprint reader
Operating SystemWindows 10 Pro
CPU TypeIntel Core i7
Processor Name2.60 GHz
Turbo Frequency4.5
Number of Cores6-core Processor
CPU L2 Cache12MB
Screen Size15.6"
TouchscreenNon-Touch Screen
Wide Screen SupportYes
Display TypeFHD
Resolution1920 x 1080
Display FeaturesIn-plane Switching (IPS) Technology
GPU/VPUNVIDIA Quadro T2000
Video Memory4 GB
SSD256GB PCIe
HDDNo
Storage Spec256 GB NVME
Memory64 GB
Memory SpeedDDR2666
LAN10/100/1000Mbps
WLAN802.11ax Wireless LAN
BluetoothBluetooth 5.1
USB2
Video Port1 x HDMI
HDMI1 x HDMI 2.0
Audio Ports1 x Headphone/Microphone Combo Jack
AudioIntegrated Sound card
SpeakerIntegrated Stereo Speakers
TouchpadThinkPad UltraNav
Backlit KeyboardBacklit
WebcamYes
Card Reader4-in-1
TypeWorkstation
AC Adapter/Charger170-watt AC Adapter
BatteryLithium Polymer
Dimensions (W x D x H)14.86x9.93x0.96
Weight5 - 5.9 lbs.

이 상품에 대한 질문

How can I confirm the Intel Core i7-9750H is reaching its 4.5 GHz turbo frequency under load?

Open Task Manager or a monitoring tool and watch the CPU clock speed while running a heavy render or compile job; the 6-core processor should show speeds up to 4.5 GHz when thermal headroom allows.

Which accessories are included and which must be purchased separately for the ThinkPad P53?

The laptop ships with the 15.6" FHD IPS display, 64GB DDR4 RAM, 256GB NVME storage, Windows 10 Pro, fingerprint reader and Dolby Atmos speakers; external monitors, docking stations or additional storage are separate purchases.

Should I choose the 256GB NVME configuration or look for a larger capacity for AI workloads?

The 256GB NVME drive holds the OS and active project files; if your datasets exceed that space, plan to add a second NVME drive or use fast external storage for the larger AI models.

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