How to get the GPU info?

I do not know of a direct equivalent, but lshw should give you the info you want, try:

sudo lshw -C display

(it also works without sudo but the info may be less complete/accurate)

You can also install the package lshw-gtk to get a GUI.

That type of information is non-standard, and the tools you will use to gather it vary widely.

The command glxinfo will give you all available OpenGL information for the graphics processor, including its vendor name, if the drivers are correctly installed.

To get clock speed information, there is no standard tool.

• For ATI/AMD GPUs running the old Catalyst driver, aticonfig --odgc should fetch the clock rates, and aticonfig --odgt should fetch the temperature data. I'm not familiar with AMDGPU-Pro, but a similar tool should exist.
• For NVIDIA GPUs, the nvidia-smi tool will show all of the information you could want, including clock speeds and usage statistics.

I am not aware of an equivalent tool for the open source drivers or for Intel or other GPUs, but other information on the hardware can be fetched from the lspci and lshw tools.

A blog post focusing on work done on the command-line is here:

http://www.cyberciti.biz/faq/howto-find-linux-vga-video-card-ram/

Find out the device ID:

 lspci | grep ' VGA ' | cut -d" " -f 1
03:00.0

You can then use this output with lspci again, forming two nested commands

lspci  -v -s  $(lspci | grep ' VGA ' | cut -d" " -f 1)

If you have more than 1 GPU card, try this equivalent command instead:

lspci | grep ' VGA ' | cut -d" " -f 1 | xargs -i lspci -v -s {}

Output from my system:

03:00.0 VGA compatible controller: NVIDIA Corporation G98 [Quadro NVS 295] (rev a1) (prog-if 00 [VGA controller])
    Subsystem: NVIDIA Corporation Device 062e
    Flags: bus master, fast devsel, latency 0, IRQ 24
    Memory at f6000000 (32-bit, non-prefetchable) [size=16M]
    Memory at ec000000 (64-bit, prefetchable) [size=64M]
    Memory at f4000000 (64-bit, non-prefetchable) [size=32M]
    I/O ports at dc80 [size=128]
    [virtual] Expansion ROM at f7e00000 [disabled] [size=128K]
    Capabilities: <access denied>
    Kernel driver in use: nvidia

EDIT: You can avoid the <access denied> by launching with sudo

So, (prefetchable) [size=64M) indicates that I have a 64-MB NVIDIA card. However, I don't, it's rather 256 MB. Why? See below.

To see how to get the most info and performance out of it, read an extremely comprehensive article on the Arch-Linux Wiki

https://wiki.archlinux.org/index.php/NVIDIA

For nvidia users, start with

nvidia-smi

(This works with the Nvidia drivers installed,but not with systems running the open-source 'nouveau' driver).

Output

Thu Dec 19 10:54:18 2013       
+------------------------------------------------------+                       
| NVIDIA-SMI 5.319.60   Driver Version: 319.60         |                       
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Quadro NVS 295      Off  | 0000:03:00.0     N/A |                  N/A |
| N/A   73C  N/A     N/A /  N/A |      252MB /   255MB |     N/A      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Compute processes:                                               GPU Memory |
|  GPU       PID  Process name                                     Usage      |
|=============================================================================|
|    0            Not Supported                                               |
+-----------------------------------------------------------------------------+

This indicates that I have a 256 MB GDDR3 Graphics card.

At this time, I don't know how to get this for Intel and AMD/ATI GPUs.

Run google-chrome and navigate to the URL about:gpu. If chrome has figured out how to use OpenGL, you will get extremely detailing information about your GPU.

Because you specified a command like cat for CPU's this is therefore the equivalent for GPU's. Specifically for Nvidia cards. It requires no software except the Nvidia device driver to be loaded.

The path here works for the cards I have. But yours may differ as others have pointed out in the comments.

1st GPU

> cat /proc/driver/nvidia/gpus/0/information
Model:       GeForce GTX 680
IRQ:         24
GPU UUID:    GPU-71541068-cded-8a1b-1d7e-a093a09e9842
Video BIOS:      80.04.09.00.01
Bus Type:    PCIe
DMA Size:    40 bits
DMA Mask:    0xffffffffff
Bus Location:    0000:01.00.0

2nd GPU

> cat /proc/driver/nvidia/gpus/1/information
Model:       GeForce GTX 580
IRQ:         33
GPU UUID:    GPU-64b1235c-51fc-d6f1-0f0e-fa70320f7a47
Video BIOS:      70.10.20.00.01
Bus Type:    PCIe
DMA Size:    40 bits
DMA Mask:    0xffffffffff
Bus Location:    0000:08.00.0

For Nvidia cards, type

nvidia-smi -q

clinfo

sudo apt-get install clinfo
clinfo

is the analogue of glxinfo but for OpenCL, my GPU setup is described at: https://stackoverflow.com/questions/7542808/how-to-compile-opencl-on-ubuntu/33483311#33483311

Ubuntu 20.04 Settings -> About

You can either open settings by clicking on top right menu, or you can just do:

• Super key (AKA Windows key)
• Type "about" and select the entry

So under "Graphics" I can see that my GPU model is "Quadro M1200/PCIe/SSE2".

nvidia-settings

Mixes runtime with some static info.

More details: How do I check if Ubuntu is using my NVIDIA graphics card?

I do believe the best option for this is neofetch.

# Get neofetch
sudo add-apt-repository ppa:dawidd0811/neofetch
sudo apt update
sudo apt install neofetch
# Run neofetch
neofetch

This gives an output like this:

This is really not that complex For model and memory, here's a 1 liner that works for every video card I've tested it on regardless of manufacturer (Intel, AMD, NVIDIA):

GPU=$(lspci | grep VGA | cut -d ":" -f3);RAM=$(cardid=$(lspci | grep VGA |cut -d " " -f1);lspci -v -s $cardid | grep " prefetchable"| cut -d "=" -f2);echo $GPU $RAM

GPU= All this bit does is grab the 3rd field from 'lspci' output filtered via 'grep' for VGA which corresponds to the video chip.

RAM= All this bit does is set variable cardid equal to the first field of output from lspci matching "VGA" and feeds that as a request for -v verbose output from lspci for that specific -s device, further filtering the output by grep for the string " prefetchable" as this contains the memory on the card itself (note the preceding space as we don't want to match "non-prefetchable" in our output.

For clock rate on Intel integrated graphics (Tested on I3 and I5)

execute the command sudo find /sys -type f -name gt_cur* -print0 | xargs -0 cat This dives into the /sys tree to locate the gt_cur_freq_mhz file which on my I3 is /sys/devices/pci0000:00/0000:00:02.0/drm/card0/gt_cur_freq_mhz and prints the content. which in my case under extremely light load is 350 as in 350 MHz which corresponds to the minimum frequency found in /sys/devices/pci0000:00/0000:00:02.0/drm/card0/gt_min_freq_mhz and when running glxgears and glmark2 results in 1050 as in 1050 MHz which corresponds to the maximum frequency found in /sys/devices/pci0000:00/0000:00:02.0/drm/card0/gt_max_freq_mhz

For clock rates on nvidia cards:

nvidia-smi -stats -d procClk corresponds to the GPU clock nvidia-smi -stats -d memClk corresponds to the memory clock.

Note: I am unable to test the above as my trusty GeForce 210 isn't supported and this works only on Kepler or newer GPUs as indicated by `nvidia-smi -stats --help'

I do not currently have any solutions for clock rate on AMD cards and do not have the hardware available for testing. I will however say that to the best of my knowledge the aticonfig mentioned in the accepted answer no longer exists and it appears that nvclock isn't available for anything since trusty.

If you're looking for only the names of the video cards on the machine, then simply use:

$ nvidia-smi --list-gpus

For some newer GPUs, this also lists the memory of each device.