HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2749
Single Precision Score
8507
Half Precision Score
13869
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 6 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8DEB |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
6159
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
9136
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3158
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3678
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
30838
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
68404
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
100% |
5140
407.7 IPS |
|
|
Object Detection (Q)
|
88% |
9482
760.2 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
13872
164.8 IPS |
|
|
Face Detection (Q)
|
100% |
29446
349.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3973
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12709
97.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
25622
199.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10149
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39451
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
75386
97.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14907
550.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30007
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1974
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1978
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2593
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4169
71.8 IPS |
