HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
8228
Single Precision Score
13335
Half Precision Score
20561
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 11:15 AM |
| Views | 24 |
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% |
5810
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
8631
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
10197
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4668
75.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12270
198.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18831
305.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23485
27.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
23705
27.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
77992
91.3 IPS |
|
|
Object Detection (SP)
|
100% |
5584
442.9 IPS |
|
|
Object Detection (HP)
|
100% |
9244
733.2 IPS |
|
|
Object Detection (Q)
|
88% |
13526
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
9179
109.1 IPS |
|
|
Face Detection (HP)
|
100% |
18650
221.6 IPS |
|
|
Face Detection (Q)
|
100% |
33694
400.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19361
149.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
33809
261.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
40844
317.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53904
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
70539
90.7 IPS |
|
|
Style Transfer (Q)
|
98% |
178268
229.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8864
327.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15531
573.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23949
886.9 IPS |
|
|
Text Classification (SP)
|
71% |
1756
2.54 KIPS |
|
|
Text Classification (HP)
|
71% |
2680
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2692
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4141
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4215
72.8 IPS |
