HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3167
Single Precision Score
28700
Half Precision Score
49122
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ridelisle |
| Upload Date | January 09 2026 07:08 PM |
| Views | 8 |
| Notes | Windows 11 power mode set to "Best Performance". |
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 8 G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D8A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
14698
2.73 KIPS |
|
|
Image Classification (Q)
|
100% |
19824
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18421
298.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32090
520.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3259
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
109754
128.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
256653
300.6 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
17162
1.36 KIPS |
|
|
Object Detection (Q)
|
88% |
27220
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
5610
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
33063
392.9 IPS |
|
|
Face Detection (Q)
|
100% |
87651
1.04 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4828
37.2 IPS |
|
|
Depth Estimation (HP)
|
92% |
83933
651.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
164902
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
10269
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
242787
312.1 IPS |
|
|
Style Transfer (Q)
|
98% |
421697
543.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43386
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
73937
2.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (Q)
|
92% |
3850
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8550
147.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10610
182.8 IPS |
