# OpenVino
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
echo "deb https://apt.repos.intel.com/openvino/2025 ubuntu24 main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2025.list
apt update
apt-cache search openvino
apt install openvino
python3 /usr/share/openvino/samples/python/hello_query_device/hello_query_device.py

# NPU driver
git clone https://github.com/intel/linux-npu-driver.git
cd linux-npu-driver/
apt install -y build-essential git git-lfs cmake python3
git submodule update --init --recursive
cmake -B build -S .
cmake --build build --parallel $(nproc)
cmake --install build
rmmod intel_vpu
modprobe intel_vpu
cmake -B build -S .
cmake --install build/ --component fw-npu --prefix /

#Geekbench
mkdir Geekbench
cd Geekbench
wget https://cdn.geekbench.com/GeekbenchAI-1.3.0-Linux.tar.gz
tar xvf GeekbenchAI-1.3.0-Linux.tar.gz
cd GeekbenchAI-1.3.0-Linux/

root@server4:~/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --ai-list
Geekbench AI 1.3.0 : https://www.geekbench.com/ai/

Geekbench AI requires an active internet connection and automatically uploads
benchmark results to the Geekbench Browser.

Framework     | Backend       | Device
 1 TensorFlow Lite |  1 CPU        |  0 Intel Core i7-1355U
 3 ONNX       |  1 CPU        |  0 Intel Core i7-1355U
 4 OpenVINO   |  1 CPU        |  0 13th Gen Intel(R) Core(TM) i7-1355U
 4 OpenVINO   |  2 GPU        |  1 Intel(R) Iris(R) Xe Graphics (iGPU)

root@server5:/storage/apps/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --help
Geekbench AI 1.3.0 : https://www.geekbench.com/ai/

Usage:

  ./banff [ options ]

Options:

  -h, --help                  print this message

AI Benchmark Options:

  --ai                        run the AI benchmark
  --ai-framework [ID]         use AI framework ID
  --ai-backend [ID]           use AI backend ID
  --ai-device [ID]            use AI device ID
  --ai-list                   list available AI settings

If no options are given, the default action is to run the inference benchmark.

root@server4:~/linux-npu-driver# modinfo intel_vpu
filename:       /lib/modules/6.8.0-57-generic/kernel/drivers/accel/ivpu/intel_vpu.ko.zst
version:        1.0.
license:        GPL and additional rights
description:    Driver for Intel NPU (Neural Processing Unit)
author:         Intel Corporation
firmware:       intel/vpu/vpu_40xx_v0.0.bin
firmware:       intel/vpu/vpu_37xx_v0.0.bin
srcversion:     853217D6461C2C5899F4F14
alias:          pci:v00008086d0000643Esv*sd*bc*sc*i*
alias:          pci:v00008086d0000AD1Dsv*sd*bc*sc*i*
alias:          pci:v00008086d00007D1Dsv*sd*bc*sc*i*
depends:
retpoline:      Y
intree:         Y
name:           intel_vpu

root@server4:~/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --ai-framework 1
Geekbench AI 1.3.0 : https://www.geekbench.com/ai/

Geekbench AI requires an active internet connection and automatically uploads
benchmark results to the Geekbench Browser.

AI Information
  Framework                     TensorFlow Lite
  Backend                       CPU
  Device                        Intel Core i7-1355U

System Information
  Operating System              Ubuntu 24.04.2 LTS
  Model                         Default string Default string
  Motherboard                   Default string Default string
  BIOS                          American Megatrends International, LLC. 5.27

CPU Information
  Name                          Intel Core i7-1355U
  Topology                      1 Processor, 10 Cores, 12 Threads
  Identifier                    GenuineIntel Family 6 Model 186 Stepping 3
  Base Frequency                5.00 GHz

Memory Information
  Size                          94.1 GB

  Running Image Classification (SP)
INFO: Initialized TensorFlow Lite runtime.
INFO: Applying 1 TensorFlow Lite delegate(s) lazily.
  Running Image Classification (HP)
INFO: Applying 1 TensorFlow Lite delegate(s) lazily.
  Running Image Classification (Q)
  Running Image Segmentation (SP)
INFO: Applying 1 TensorFlow Lite delegate(s) lazily.
  Running Image Segmentation (HP)
INFO: Applying 1 TensorFlow Lite delegate(s) lazily.
  Running Image Segmentation (Q)
..