Can GTX 1650 Handle Multi-Instance Rise of Kingdoms on Emulator?
With the growing popularity of mobile strategy games like Rise of Kingdoms, many gamers and bot operators are turning to emulators to run multiple instances simultaneously. This raises a crucial question: can a low-end GPU like the GTX 1650 handle multi-instance gaming reliably, especially with resource-heavy titles?
To find out, we conducted real-world performance tests using a server equipped with an Intel Xeon E5-2667v3, GTX 1650, and 64GB of DDR4 RAM. Various Android emulators were tested, including LDPlayer, BlueStacks, and Mumu Player, running up to six simultaneous instances of Rise of Kingdoms.
Low-End GPU Gaming Server Configs
- CPU: Intel Xeon E5-2667v3 (8 cores, 16 threads @ 3.2GHz)
- GPU: NVIDIA GeForce GTX 1650 (4GB VRAM)
- RAM: 64GB DDR4 ECC
- OS: Windows 11(Free)
- Emulators Used: LDPlayer, BlueStacks, Mumu Player
- Game Tested: Rise of Kingdoms
Benchmark Results: Multi-Instance Emulator Game
Analysis GTX 1650 Performance
Recommendations When Multi-Instance Emulator Gaming
Rent GTX 1650 Server for Emulator Game Rise of Kingdoms
Express GPU Dedicated Server - P620
- 32GB RAM
- Eight-Core Xeon E5-2670
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P620
- Microarchitecture: Pascal
- CUDA Cores: 512
- GPU Memory: 2GB GDDR5
- FP32 Performance: 1.5 TFLOPS
Express GPU Dedicated Server - P1000
- 32GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P1000
- Microarchitecture: Pascal
- CUDA Cores: 640
- GPU Memory: 4GB GDDR5
- FP32 Performance: 1.894 TFLOPS
Basic GPU Dedicated Server - GTX 1650
- 64GB RAM
- Eight-Core Xeon E5-2667v3
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1650
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 4GB GDDR5
- FP32 Performance: 3.0 TFLOPS
Basic GPU Dedicated Server - GTX 1660
- 64GB RAM
- Dual 10-Core Xeon E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1660
- Microarchitecture: Turing
- CUDA Cores: 1408
- GPU Memory: 6GB GDDR6
- FP32 Performance: 5.0 TFLOPS