HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
3023
Single Precision Score
9125
Half Precision Score
14123
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 20 2025 12:22 PM |
| Views | 6 |
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 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% |
1686
313.6 IPS |
|
|
Image Classification (HP)
|
100% |
6329
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8892
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3136
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4591
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
30796
35.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
65899
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
5459
433.0 IPS |
|
|
Object Detection (Q)
|
88% |
9107
730.1 IPS |
|
|
Face Detection (SP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
15807
187.8 IPS |
|
|
Face Detection (Q)
|
100% |
29492
350.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4726
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16939
130.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
31312
243.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12736
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48937
62.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88601
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2390
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14409
532.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28005
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
1755
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1928
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4272
73.6 IPS |
