Samsung Q320 specs.
Laptops Specs >> Samsung >> Samsung Q320| Specifications | | | Reviews | | | Useful keys |
Basic Specs Samsung Q320
Type:
notebook
Operating System:
Win Vista Home Premium
Processor Samsung Q320
Processor:
Core 2 Duo 2130 MHz
Processor Model:
P7450
Number of Cores:
2
L2 cache:
3 MB
The system bus:
1066
Memory Samsung Q320
Memory:
3072 MB DDR2 800 MHz
Number of Total Memory Slots:
2
Display Samsung Q320
Display:
13.4-inch, 1366x768, widescreen
Backlight Technology:
LED
Graphics Controller:
discrete
Graphics Chipset Model:
NVIDIA GeForce G105M
Graphics Memory:
256 MB GDDR3
Storage Devices Samsung Q320
Optical Drive Type:
DVD-RW, internal
Storage Size:
250 GB Serial ATA
Hard Drive Speed:
5400 r/min
Communication Samsung Q320
LAN/Modem:
NIC 1000 Mbit/s
Wireless Communication:
bluetooth, Wi-Fi 802.11n
Interfaces:
USB 2.0x3, VGA (D-Sub), HDMI, eSATA, LAN (RJ-45)
Expansion slots Samsung Q320
ExpressCard slot:
ExpressCard/34
Memory Card Reader:
Yes
Memory Card Support:
SD
Battery Samsung Q320
Battery Chemistry:
Li-Ion
Input Devices Samsung Q320
Pointing Device Type:
Touchpad
Number of keyboard keys:
88
Audio Samsung Q320
Speakers:
Yes
Microphone:
Yes
Detailed Specs Samsung Q320
Webcam:
Yes
Features:
Lock slot
Dimensions (HxWxT):
326x228.5x36.6 mm
Weight:
2.2 kg
Reviews, Questions about Samsung Q320
Write Review / Ask a question about Samsung Q320
HP has announced the launch of the HP HyperX Omen 15 laptop on the international market. In addition to its fast display and powerful hardware, a distinctive feature of this model is its dust protection function.
The ASUS laptop family has been expanded with the ZenBook 14 Air (2026) model. Its distinctive feature is the combination of powerful hardware and a lightweight body, as well as impressive battery life by compact standards.
The ASUS laptop series has a new addition. The Vivobook Pro 16 (2026) model, available in 14- and 16-inch versions, is equipped with an OLED display with accurate color reproduction, as well as powerful Intel hardware for everyday tasks and local neural network training.