HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
2703
Single Precision Score
2711
Half Precision Score
6542
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 11:25 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook Power 16 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CA0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1543
287.0 IPS |
|
|
Image Classification (HP)
|
100% |
1512
281.1 IPS |
|
|
Image Classification (Q)
|
100% |
4656
865.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4254
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3698
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3684
4.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
13781
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (Q)
|
88% |
4268
342.2 IPS |
|
|
Face Detection (SP)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (Q)
|
100% |
9379
111.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3915
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3999
30.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10385
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10771
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10517
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
35072
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1970
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6191
229.3 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3108
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1876
32.3 IPS |
