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Lenovo

Lenovo ThinkPad T16 Gen 4 laptop, Core Ultra 7 258V, 32GB DDR5, 1TB NVMe

SKU CH-5EFA-QP8SZ MPN T16

16-inch WUXGA IPS laptop with Core Ultra 7 258V, 32GB DDR5 and 1TB NVMe

  • ColorBlack
  • Other FeaturesFingerprint reader
  • Operating SystemWindows 11 Pro
  • CPU TypeIntel Core Ultra 7 (Series 2)
  • Turbo Frequency4.8GHz
  • Number of Cores8-core Processor
  • AI-ready performance with Intel Core Ultra 7 258V up to 4.8GHz
  • 32GB DDR5 memory for smooth multitasking across workloads
  • 1TB NVMe storage for fast boot and file access
  • 16" WUXGA IPS display at 1920 x 1200 for clear visuals
  • MIL-STD-810H tested with 12 standards and 26 procedures for durability

What this laptop is

The Lenovo ThinkPad T16 Gen 4 is a 16.0 inch WUXGA laptop built for professionals who need a reliable Windows 11 Pro machine. It runs an Intel Core Ultra 7 258V processor with 8 cores and a 4.8GHz turbo frequency. The 32GB DDR5 memory and 1TB NVMe SSD support multitasking and fast storage access. MIL-STD-810H testing covers 12 standards, 26 procedures and 200-plus quality checks for durability in harsh conditions.

What to verify before ordering

Confirm that the 1920 x 1200 IPS non-touch display meets your visual workflow needs. The integrated graphics card handles standard business applications but is not suited for heavy 3D rendering or discrete GPU workloads. Ensure the single 1TB NVMe capacity aligns with your local storage requirements. Check that the HDMI and LAN ports match the peripherals and network infrastructure you use daily.

Thermals noise and power

The chassis is engineered to meet MIL-STD-810H thermal and vibration thresholds, so the cooling system manages sustained loads during typical office tasks. Fan noise stays low during document work, web browsing and video calls. The 8-core processor operates at a 3.7GHz base clock and 4.8GHz turbo, drawing variable power that the integrated thermal solution handles without throttling under normal productivity scenarios.

Highlights

  • AI-ready performance with Intel Core Ultra 7 258V up to 4.8GHz
  • 32GB DDR5 memory for smooth multitasking across workloads
  • 1TB NVMe storage for fast boot and file access
  • 16" WUXGA IPS display at 1920 x 1200 for clear visuals
  • MIL-STD-810H tested with 12 standards and 26 procedures for durability

Specifications

BrandLenovo
SeriesThinkPad
ModelT16 Gen 4
Part Number22AXS0D900
ColorBlack
Other FeaturesFingerprint reader
Operating SystemWindows 11 Pro
CPU TypeIntel Core Ultra 7 (Series 2)
Turbo Frequency4.8GHz
Number of Cores8-core Processor
Smart Cache12MB
Screen Size16.0"
TouchscreenNo
Wide Screen SupportYes
Display TypeWUXGA
Resolution1920 x 1200
PanelIPS
GPU/VPUNot found
Graphic TypeIntegrated Card
SSD1 TB
HDDNo
Storage Spec1TB NVMe SSD
Memory32GB
Memory SpeedDDR5 5200
Memory Spec32 GB onboard
Memory Slot (Total)0
Memory Slot (Available)0
Max Memory Supported32 GB
Optical Drive TypeNo
LAN10/100/1000Mbps
WLAN802.11ax Wireless LAN
WiFi GenerationWi-Fi 6E
BluetoothBluetooth 5.4
USB4
Video Port1 x HDMI
HDMI1 x HDMI
Ethernet1 x RJ-45 (1Gbps)
Audio Ports1 x Headphone/Microphone Combo Jack
AudioIntegrated Sound card
SpeakerIntegrated Stereo Speakers
TouchpadYes
KeyboardStandard
Backlit KeyboardBacklit
WebcamYes
StyleStandard
TypeWork / Business
Battery3-cell Lithium Ion
Battery LifeUp to 14 Hours
Dimensions (W x D x H)9.87 x 14.16 x 0.71 in
Weight4 - 4.9 lbs.

Questions about this item

Does the 1TB NVMe drive come installed or do I need to fit it myself?

The 1TB NVMe SSD is already installed along with 32GB DDR5 RAM; the laptop ships ready to run Windows 11 Pro out of the box.

Should I pick the Core Ultra 7 258V or a different processor option for this chassis?

This unit is built with the Core Ultra 7 258V, an 8-core chip that reaches 4.8GHz turbo and includes 12MB smart cache; no other CPU variant is offered on this configuration.

What does the 4.8GHz turbo actually deliver when I am editing video or running local AI workloads?

The 8-core Ultra 7 258V can hit 4.8GHz on short bursts, giving fast single-thread response for timeline scrubbing and enough multi-core throughput for on-device inference without a discrete GPU.

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