HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
3480
Single Precision Score
9413
Half Precision Score
14634
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 01:12 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 ZBook 8 G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8D94 |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
6802
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9464
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3860
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4512
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
33930
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72393
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.6 IPS |
|
|
Object Detection (HP)
|
100% |
5966
473.2 IPS |
|
|
Object Detection (Q)
|
87% |
9826
788.6 IPS |
|
|
Face Detection (SP)
|
100% |
5651
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
15166
180.2 IPS |
|
|
Face Detection (Q)
|
100% |
30288
359.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5417
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17353
133.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33153
258.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13111
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48977
63.0 IPS |
|
|
Style Transfer (Q)
|
98% |
90823
117.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2446
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14055
519.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23543
871.9 IPS |
|
|
Text Classification (SP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1959
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4080
70.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4122
71.0 IPS |
