fragment-complexity=medium:fragment-steps=5: FPS: 4602 FrameTime: 0.217 ms fragment-complexity=low:fragment-steps=5: FPS: 5048 FrameTime: 0.198 ms fragment-steps=0:vertex-steps=5: FPS: 5293 FrameTime: 0.189 ms fragment-steps=5:vertex-steps=0: FPS: 4556 FrameTime: 0.219 ms fragment-steps=0:vertex-steps=0: FPS: 5081 FrameTime: 0.197 ms speed=duration: FPS: 5480 FrameTime: 0.182 ms columns=200:interleave=true:update-dispersion=0.9:update-fraction=0.5:update-method=map: FPS: 1800 FrameTime: 0.556 ms columns=200:interleave=false:update-dispersion=0.9:update-fraction=0.5:update-method=subdata: FPS: 1703 FrameTime: 0.587 ms columns=200:interleave=false:update-dispersion=0.9:update-fraction=0.5:update-method=map: FPS: 1555 FrameTime: 0.643 ms effect=shadow:windows=4: FPS: 3913 FrameTime: 0.256 ms blur-radius=5:effect=blur:passes=1:separable=true:windows=4: FPS: 2776 FrameTime: 0.360 ms light=false:quads=5:texture=false: FPS: 5793 FrameTime: 0.173 ms bump-render=height: FPS: 6724 FrameTime: 0.149 ms bump-render=normals: FPS: 7187 FrameTime: 0.139 ms bump-render=high-poly: FPS: 4772 FrameTime: 0.210 ms shading=cel: FPS: 5720 FrameTime: 0.175 ms shading=phong: FPS: 6425 FrameTime: 0.156 ms shading=blinn-phong-inf: FPS: 5810 FrameTime: 0.172 ms shading=gouraud: FPS: 6358 FrameTime: 0.157 ms texture-filter=mipmap: FPS: 4030 FrameTime: 0.248 ms texture-filter=linear: FPS: 4979 FrameTime: 0.201 ms texture-filter=nearest: FPS: 5144 FrameTime: 0.194 ms use-vbo=true: FPS: 6927 FrameTime: 0.144 ms use-vbo=false: FPS: 4980 FrameTime: 0.201 ms GL_RENDERER: GeForce GTX 1650 with Max-Q Design/PCIe/SSE2 My benchmark result for Nvidia GeForce GTX 1650 running on Ubuntu Linux 20.04 LTS: = Then it will begin the test as follows and would stress test your GPU on Linux:

Glmark2 is an OpenGL 2.0 and ES 2.0 benchmark command-line utility. glmark2 – Stress-testing GPU performance on Linux $ grep -i -color memory /var/log/Xorg.0.log 1. Want to find out video card GPU memory RAM size on Linux? Try: 0/100/2 /dev/fb0 display UHD Graphics 630 (Mobile) Which is output something as follows: H/W path Device Class Description We can use the following tools to monitor, diagnostic, and inspect our Linux or *BSD based systems. Linux GPU Monitoring and Diagnostic Commands Line Tools

Ubuntu ram monitor