Price: ₹1,10,890 - ₹82,490.00
(as of Jan 29,2025 02:11:29 UTC – Details)
Stay well ahead of the gaming curve with the Lenovo LOQ 15ARP9, with cutting-edge AI performance tuning and state-of-the-art hardware and thermals. This cutting-edge gaming engine is powered by up to AMD Ryzen 7 7435H processor, NVIDIA GeForce RTX 4050 Laptop GPU and up to 24GB 4800Mhz DDR5 RAM, performance-tuned by the Lenovo AI Engine+ and a dedicated MUX Switch with NVIDIA Advanced Optimus to push your system beyond its set limits. The Lenovo LOQ 15ARP9 boasts a thin side wall and higher-performing rear I/O. Shake the world of gaming while staying inconspicuous in public spaces with the cutting-edge thermal design. Dive into adrenaline-pumping action with the pro-grade 15″ 16:09 100% sRGB display with up to 144Hz variable refresh rate. Last but not least, bring to bear the full might of your typing abilities and conquer gaming, work and school with the legendary Lenovo gaming keyboard.
Processor: AMD Ryzen 7 7435HS | Speed: 3.1GHz (Base) – 4.5GHz (Max) | 8 Cores | 16 Threads | 16MB Cache
Display: 15.6″ FHD (1920×1080) IPS Technology | 144 Hz Refresh Rate | 100pct. sRGB |Brightness: 300Nits Anti-glare || Connectivity : Wifi 6E 11ax (2×2) | Bluetooth 5.2
Memory: 2x12GB SO-DIMM DDR5-4800, Max Memory :-Up to 32GB DDR5-4800 | Storage: 512GB SSD M.2 2242 PCIe 4.0×4 NVMe
Graphics: NVIDIA GeForce RTX 4050 6GB GDDR6, Boost Clock 2370MHz, TGP 105W | G-Sync || Cooling: Hyperchamber thermal design is a game-changer. Dual fans spin outward, expelling heat eciently from the rear end, and the sealed chamber grants an extra 10W of power in Extreme Mode, reduces skin temperature, and minimizes noise
AI Engine + : The Lenovo AI Engine+ and Lenovo LA1 AI Chip work together with the MUX Switch with NVIDIA Advanced Optimus for a truly epic boost in performance, at levels you’ve never seen before.
Customers say
Customers find the laptop reasonably priced. However, some have reported issues with battery life, stating it lasts only an hour or less.
AI-generated from the text of customer reviews
