HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
8294
Single Precision Score
13399
Half Precision Score
20561
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 11:19 AM |
| Views | 10 |
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% |
5739
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
8813
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
10386
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4694
76.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12264
198.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18799
304.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23131
27.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23696
27.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
77897
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
5402
428.5 IPS |
|
|
Object Detection (HP)
|
100% |
9211
730.6 IPS |
|
|
Object Detection (Q)
|
88% |
13507
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
9351
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
19359
230.0 IPS |
|
|
Face Detection (Q)
|
100% |
33763
401.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20341
156.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
34006
262.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
40130
311.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53776
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71158
91.5 IPS |
|
|
Style Transfer (Q)
|
98% |
182623
235.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9531
351.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15457
570.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24128
893.5 IPS |
|
|
Text Classification (SP)
|
71% |
1740
2.52 KIPS |
|
|
Text Classification (HP)
|
71% |
2630
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2655
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4152
71.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4148
71.7 IPS |
