HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
8281
Single Precision Score
13376
Half Precision Score
20703
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 10:47 AM |
| Views | 16 |
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% |
5777
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
8568
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
10439
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4688
76.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12262
198.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19057
308.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23488
27.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
24066
28.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
78387
91.8 IPS |
|
|
Object Detection (SP)
|
100% |
5517
437.6 IPS |
|
|
Object Detection (HP)
|
100% |
9206
730.2 IPS |
|
|
Object Detection (Q)
|
88% |
13442
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
9252
109.9 IPS |
|
|
Face Detection (HP)
|
100% |
19101
227.0 IPS |
|
|
Face Detection (Q)
|
100% |
34109
405.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19584
150.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
34238
264.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
41118
319.6 IPS |
|
|
Style Transfer (SP)
|
100% |
57372
73.8 IPS |
|
|
Style Transfer (HP)
|
100% |
70524
90.7 IPS |
|
|
Style Transfer (Q)
|
98% |
181963
234.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8850
326.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15519
573.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23962
887.4 IPS |
|
|
Text Classification (SP)
|
71% |
1771
2.56 KIPS |
|
|
Text Classification (HP)
|
71% |
2648
3.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2687
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2655
45.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4156
71.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4201
72.6 IPS |
