Samsung RV518 specs.
Laptops Specs >> Samsung >> Samsung RV518| Specifications | | | Reviews | | | Useful keys |
Basic Specs Samsung RV518
Type:
notebook
Operating System:
DOS
Processor Samsung RV518
Processor:
Core i3 2100 MHz
Processor Model:
2310M
Number of Cores:
2
L3 Cache:
3 MB
Chipset Model:
Intel HM65
Memory Samsung RV518
Memory:
2048MB DDR3
Display Samsung RV518
Display:
15.6-inch, 1366x768, widescreen
Display Screen Type:
glossy
Backlight Technology:
LED
Graphics Controller:
discrete
Graphics Chipset Model:
NVIDIA GeForce GT 520M
Graphics Memory:
1024 MB
Storage Devices Samsung RV518
Optical Drive Type:
DVD-RW, internal
Storage Size:
500 GB Serial ATA
Communication Samsung RV518
LAN/Modem:
NIC 1000 Mbit/s
Wireless Communication:
bluetooth, Wi-Fi 802.11n
Bluetooth Standard:
3.0 HS
Interfaces:
USB 2.0x3, VGA (D-Sub), HDMI, microphone input, audio output/headphone, LAN (RJ-45)
Expansion slots Samsung RV518
Memory Card Reader:
Yes
Memory Card Support:
SD
Battery Samsung RV518
Battery Capacity:
4000 mAh
Number of Battery Cells:
6
Battery Chemistry:
Li-Ion
Input Devices Samsung RV518
Pointing Device Type:
Touchpad
Audio Samsung RV518
Speakers:
Yes
Detailed Specs Samsung RV518
Webcam:
Yes, 0.3 million pixels
Features:
Lock slot
Dimensions (HxWxT):
381x256x35 mm
Weight:
2.4 kg
Reviews, Questions about Samsung RV518
Write Review / Ask a question about Samsung RV518
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.