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framework	Backend	Device	Single	Half	Quant.	Results
TensorFlow Lite	CPU	Intel Core i7-1355U	1267	1118	804	https://browser.geekbench.com/ai/v1/247577
ONNX	CPU	Intel Core i7-1355U	1719	537	4011	https://browser.geekbench.com/ai/v1/247584
OpenVINO	CPU	Intel Core i7-1355U	1959	1876	3832	https://browser.geekbench.com/ai/v1/247588

Workload (TF Lite)	Accuracy	Score	Workload (ONNX)	Accuracy	Score	Workload	Accuracy	Score
Image Classification (SP)	100%	873 162.3 IPS	Image Classification (SP)	100%	1028 191.1 IPS	Image Classification (SP)	100%	1141 212.2 IPS
Image Classification (HP)	100%	865 160.9 IPS	Image Classification (HP)	100%	187 34.7 IPS	Image Classification (HP)	100%	1145 213.0 IPS
Image Classification (Q)	99%	546 101.8 IPS	Image Classification (Q)	97%	3315 618.6 IPS	Image Classification (Q)	100%	2573 478.4 IPS
Image Segmentation (SP)	100%	1136 18.4 IPS	Image Segmentation (SP)	100%	945 15.3 IPS	Image Segmentation (SP)	100%	1395 22.6 IPS
Image Segmentation (HP)	100%	1145 18.6 IPS	Image Segmentation (HP)	100%	291 4.71 IPS	Image Segmentation (HP)	100%	1443 23.4 IPS
Image Segmentation (Q)	98%	627 10.2 IPS	Image Segmentation (Q)	99%	2271 36.9 IPS	Image Segmentation (Q)	99%	2640 42.8 IPS
Pose Estimation (SP)	100%	1665 1.94 IPS	Pose Estimation (SP)	100%	2483 2.90 IPS	Pose Estimation (SP)	100%	2272 2.65 IPS
Pose Estimation (HP)	100%	1097 1.28 IPS	Pose Estimation (HP)	100%	1393 1.63 IPS	Pose Estimation (HP)	100%	1776 2.07 IPS
Pose Estimation (Q)	96%	1185 1.39 IPS	Pose Estimation (Q)	94%	7970 9.35 IPS	Pose Estimation (Q)	96%	5342 6.26 IPS
Object Detection (SP)	100%	892 70.7 IPS	Object Detection (SP)	100%	1124 89.2 IPS	Object Detection (SP)	100%	1125 89.2 IPS
Object Detection (HP)	100%	870 69.0 IPS	Object Detection (HP)	100%	194 15.4 IPS	Object Detection (HP)	100%	1128 89.4 IPS
Object Detection (Q)	85%	615 49.5 IPS	Object Detection (Q)	86%	3289 264.3 IPS	Object Detection (Q)	88%	2552 204.6 IPS
Face Detection (SP)	100%	1861 22.1 IPS	Face Detection (SP)	100%	2262 26.9 IPS	Face Detection (SP)	100%	3316 39.4 IPS
Face Detection (HP)	100%	1342 15.9 IPS	Face Detection (HP)	100%	279 3.32 IPS	Face Detection (HP)	100%	2781 33.0 IPS
Face Detection (Q)	97%	1515 18.1 IPS	Face Detection (Q)	97%	8407 100.2 IPS	Face Detection (Q)	100%	6399 76.0 IPS
Depth Estimation (SP)	100%	1663 12.8 IPS	Depth Estimation (SP)	100%	3168 24.4 IPS	Depth Estimation (SP)	100%	2723 21.0 IPS
Depth Estimation (HP)	99%	1589 12.2 IPS	Depth Estimation (HP)	99%	740 5.70 IPS	Depth Estimation (HP)	99%	2770 21.3 IPS
Depth Estimation (Q)	63%	1106 10.4 IPS	Depth Estimation (Q)	78%	7653 61.1 IPS	Depth Estimation (Q)	89%	6361 49.5 IPS
Style Transfer (SP)	100%	2077 2.67 IPS	Style Transfer (SP)	100%	5451 7.01 IPS	Style Transfer (SP)	100%	6421 8.25 IPS
Style Transfer (HP)	100%	1990 2.56 IPS	Style Transfer (HP)	100%	4078 5.24 IPS	Style Transfer (HP)	100%	6515 8.37 IPS
Style Transfer (Q)	98%	2812 3.63 IPS	Style Transfer (Q)	98%	10602 13.7 IPS	Style Transfer (Q)	98%	15385 19.8 IPS
Image Super-Resolution (SP)	100%	899 33.2 IPS	Image Super-Resolution (SP)	100%	1337 49.4 IPS	Image Super-Resolution (SP)	100%	1295 47.8 IPS
Image Super-Resolution (HP)	100%	907 33.5 IPS	Image Super-Resolution (HP)	100%	977 36.1 IPS	Image Super-Resolution (HP)	100%	1306 48.2 IPS
Image Super-Resolution (Q)	97%	714 26.5 IPS	Image Super-Resolution (Q)	99%	2829 104.7 IPS	Image Super-Resolution (Q)	99%	3217 119.1 IPS
Text Classification (SP)	100%	924 1.23 KIPS	Text Classification (SP)	100%	1085 1.45 KIPS	Text Classification (SP)	100%	1266 1.69 KIPS
Text Classification (HP)	100%	925 1.23 KIPS	Text Classification (HP)	100%	465 621.0 IPS	Text Classification (HP)	100%	1184 1.58 KIPS
Text Classification (Q)	92%	337 452.5 IPS	Text Classification (Q)	97%	1319 1.77 KIPS	Text Classification (Q)	92%	1764 2.37 KIPS
Machine Translation (SP)	100%	1362 23.5 IPS	Machine Translation (SP)	100%	1471 25.3 IPS	Machine Translation (SP)	100%	2158 37.2 IPS
Machine Translation (HP)	100%	1574 27.1 IPS	Machine Translation (HP)	100%	356 6.13 IPS	Machine Translation (HP)	100%	2105 36.3 IPS
Machine Translation (Q)	58%	401 9.41 IPS	Machine Translation (Q)	65%	2151 43.2 IPS	Machine Translation (Q)	100%	2078 35.8 IPS

Install

Code Block

# 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/

...

Code Block

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

OpenVINO CPU

Code Block

root@server4:~/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --ai-framework 14
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 LiteOpenVINO
  Backend                       CPU
  Device                        13th Gen Intel(R) Core(TM) 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:  InitializedRunning TensorFlowImage Lite runtime.
INFO: Applying 1 TensorFlow Lite delegate(s) lazily.Classification (HP)
  Running Image Classification (Q)
  Running Image ClassificationSegmentation (HPSP)
INFO: Applying 1Running TensorFlowImage LiteSegmentation delegate(sHP) lazily.
  Running Image ClassificationSegmentation (Q)
  Running ImagePose SegmentationEstimation (SP)
INFO: Applying 1Running TensorFlowPose LiteEstimation delegate(s) lazily.HP)
  Running Pose Estimation (Q)
  Running ImageObject SegmentationDetection (HPSP)
INFO: Applying 1Running TensorFlowObject LiteDetection delegate(sHP) lazily.
  Running ImageObject SegmentationDetection (Q)
  Running Face Detection (SP)
  Running Face Detection (HP)
  Running Face Detection (Q)
  Running Depth Estimation (SP)
  Running Depth Estimation (HP)
  Running Depth Estimation (Q)
  Running Style Transfer (SP)
  Running Style Transfer (HP)
  Running Style Transfer (Q)
  Running Image Super-Resolution (SP)
  Running Image Super-Resolution (HP)
  Running Image Super-Resolution (Q)
  Running Text Classification (SP)
  Running Text Classification (HP)
  Running Text Classification (Q)
  Running Machine Translation (SP)
  Running Machine Translation (HP)
  Running Machine Translation (Q)

Uploading results to the Geekbench Browser. This could take a minute or two
depending on the speed of your internet connection.

Upload succeeded. Visit the following link and view your results online:

  https://browser.geekbench.com/ai/v1/247588

OpenVINO GPU

Code Block

root@server4:~/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --ai-framework 4 --ai-backend 2 --ai-device 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                     OpenVINO
  Backend                       GPU
  Device                        Intel(R) Iris(R) Xe Graphics (iGPU)

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)
free(): invalid pointer

..

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