HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
8556
Single Precision Score
13693
Half Precision Score
21293
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | felixskw |
| Upload Date | September 21 2025 01:32 PM |
| Views | 7 |
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% |
6192
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
9039
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
11111
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4677
75.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12208
197.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18779
304.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
25006
29.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
24031
28.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
79963
93.6 IPS |
|
|
Object Detection (SP)
|
100% |
5550
440.2 IPS |
|
|
Object Detection (HP)
|
100% |
9536
756.4 IPS |
|
|
Object Detection (Q)
|
88% |
14211
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
9169
108.9 IPS |
|
|
Face Detection (HP)
|
100% |
18964
225.3 IPS |
|
|
Face Detection (Q)
|
100% |
33589
399.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19910
153.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
34597
267.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
41275
320.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54286
69.8 IPS |
|
|
Style Transfer (HP)
|
100% |
70632
90.8 IPS |
|
|
Style Transfer (Q)
|
98% |
186057
239.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10092
372.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15887
586.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24960
924.4 IPS |
|
|
Text Classification (SP)
|
71% |
1886
2.73 KIPS |
|
|
Text Classification (HP)
|
71% |
2823
4.08 KIPS |
|
|
Text Classification (Q)
|
92% |
2822
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4412
76.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4449
76.9 IPS |
