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Lenovo

Lenovo ThinkPad P53 laptop i7-9750H 128GB RAM 256GB NVME + 1TB HDD Quadro T1000 15.6" FHD HDR

SKU CH-NPZG-HSNDN

A 15.6" FHD HDR IPS mobile workstation with a hexa-core i7-9750H up to 4.5GHz, 128GB DDR4 RAM, 256GB NVME plus 1TB HDD, and a Quadro T1000 4GB GPU for rendering and AI workloads

  • ColorBlack
  • Other FeaturesFingerprint reader
  • Operating SystemWindows 10 Pro
  • CPU TypeIntel Core i7
  • Processor Name2.60 GHz
  • Turbo Frequency4.5
  • Intel Core i7-9750H hexa-core processor reaches 4.5 GHz for heavy compute workloads
  • 128GB DDR4 memory handles large datasets and multi-app workflows without swapping
  • 256GB NVME plus 1TB HDD gives fast boot and ample project storage
  • 6 inch FHD IPS display at 500 nits with HDR Dolby Vision and 72% colour gamut for colour-accurate review
  • NVIDIA Quadro T1000 4GB GPU accelerates professional 3D and CAD applications

Mobile workstation for data workloads

The ThinkPad P53 combines an Intel Core i7-9750H six-core processor running at 2.60 GHz with a turbo frequency of 4.5 GHz and 128GB of DDR4 memory. It is built for professionals who run virtual machines, large datasets or GPU-accelerated rendering on the move. The 15.6 inch FHD IPS display reaches 500 nits with HDR Dolby Vision and 72% color gamut for accurate visual review.

Graphics and storage interfaces defined

The NVIDIA Quadro T1000 provides 4GB of video memory for certified professional applications. Primary storage uses a 256GB NVME drive for fast boot and project loads while a 1TB hard drive adds bulk capacity. The system ships with Windows 10 Pro 64-bit and includes a fingerprint reader and discrete TPM for platform security.

Capacity comfort zone and ceiling

The 128GB DDR4 configuration handles multi-VM environments and large memory-mapped files without paging. The 256GB NVME volume fills quickly with active project caches so archival workflows rely on the 1TB mechanical drive. Buyers who need more high-speed solid-state capacity or a higher-tier GPU for complex simulation will need a different platform.

Points forts

  • Intel Core i7-9750H hexa-core processor reaches 4.5 GHz for heavy compute workloads
  • 128GB DDR4 memory handles large datasets and multi-app workflows without swapping
  • 256GB NVME plus 1TB HDD gives fast boot and ample project storage
  • 6 inch FHD IPS display at 500 nits with HDR Dolby Vision and 72% colour gamut for colour-accurate review
  • NVIDIA Quadro T1000 4GB GPU accelerates professional 3D and CAD applications

Caractéristiques

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 T1000
Video Memory4 GB
SSD256GB PCIe
HDD1 TB
Storage Spec256 GB NVME + 1 TB HDD
Memory128 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.

Questions sur cet article

Should I pick the 256GB NVME plus 1TB HDD combo or look for a larger single drive?

The 256GB NVME provides fast boot and application launch, while the 1TB HDD adds bulk storage for project files and archives.

What does the 4.5 GHz turbo frequency actually deliver inside this chassis?

The i7-9750H can boost to 4.5 GHz on up to six cores, accelerating compile times and viewport rendering in CAD or simulation workloads.

How does the NVME interface affect real-world transfer speeds?

NVME over PCIe gives much higher sequential throughput than older interfaces, reducing wait time when loading large datasets or video timelines.

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