HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3255
Single Precision Score
28904
Half Precision Score
48198
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 04:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D8A |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1954
363.3 IPS |
|
|
Image Classification (HP)
|
100% |
10783
2.01 KIPS |
|
|
Image Classification (Q)
|
100% |
14833
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19374
314.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29991
486.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3467
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
115103
134.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
254512
298.1 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
18344
1.46 KIPS |
|
|
Object Detection (Q)
|
88% |
28280
2.27 KIPS |
|
|
Face Detection (SP)
|
100% |
5843
69.4 IPS |
|
|
Face Detection (HP)
|
100% |
39958
474.8 IPS |
|
|
Face Detection (Q)
|
100% |
88699
1.05 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4817
37.1 IPS |
|
|
Depth Estimation (HP)
|
92% |
86962
674.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
162344
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
10423
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
250724
322.3 IPS |
|
|
Style Transfer (Q)
|
98% |
433178
558.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2151
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36851
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86893
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3148
4.20 KIPS |
|
|
Text Classification (Q)
|
92% |
3401
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9132
157.3 IPS |
|
|
Machine Translation (Q)
|
100% |
11464
197.5 IPS |
