HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
2997
Single Precision Score
3042
Half Precision Score
7266
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | felixskw |
| Upload Date | September 21 2025 01:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165H |
| 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% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
1683
312.9 IPS |
|
|
Image Classification (Q)
|
100% |
4715
876.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2582
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5017
81.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4206
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4167
4.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
13761
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (Q)
|
88% |
4832
387.3 IPS |
|
|
Face Detection (SP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
5160
61.3 IPS |
|
|
Face Detection (Q)
|
100% |
10913
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4586
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4660
35.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
12203
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11104
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10822
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34918
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7378
273.2 IPS |
|
|
Text Classification (SP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
3154
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2410
41.5 IPS |
