HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
8230
Single Precision Score
13303
Half Precision Score
20718
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 11:21 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro Graphics (iGPU) |
| 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% |
5771
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
8607
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
10415
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4694
76.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12188
197.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18941
307.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22473
26.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
23537
27.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
78329
91.7 IPS |
|
|
Object Detection (SP)
|
100% |
5551
440.3 IPS |
|
|
Object Detection (HP)
|
100% |
9107
722.3 IPS |
|
|
Object Detection (Q)
|
88% |
13877
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
9227
109.6 IPS |
|
|
Face Detection (HP)
|
100% |
18687
222.0 IPS |
|
|
Face Detection (Q)
|
100% |
33508
398.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19408
149.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
33840
261.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
41329
321.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55156
70.9 IPS |
|
|
Style Transfer (HP)
|
100% |
70294
90.4 IPS |
|
|
Style Transfer (Q)
|
98% |
181068
233.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9005
332.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15545
574.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24098
892.4 IPS |
|
|
Text Classification (SP)
|
71% |
1772
2.56 KIPS |
|
|
Text Classification (HP)
|
71% |
2666
3.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2674
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2678
46.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4191
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4206
72.7 IPS |
