HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
5138
Single Precision Score
8307
Half Precision Score
3647
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 11:08 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro Graphics |
| 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% |
2629
488.9 IPS |
|
|
Image Classification (HP)
|
100% |
4846
901.2 IPS |
|
|
Image Classification (Q)
|
100% |
2256
419.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3274
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8166
132.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2629
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14828
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21517
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12711
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
2878
228.3 IPS |
|
|
Object Detection (HP)
|
99% |
5506
438.0 IPS |
|
|
Object Detection (Q)
|
86% |
2360
189.7 IPS |
|
|
Face Detection (SP)
|
100% |
4791
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
9646
114.6 IPS |
|
|
Face Detection (Q)
|
97% |
3648
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10715
82.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
22380
173.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
8463
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47034
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
73564
94.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32822
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7615
281.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12234
451.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4303
159.3 IPS |
|
|
Text Classification (SP)
|
86% |
845
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
716
955.2 IPS |
|
|
Text Classification (Q)
|
84% |
535
726.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1005
18.8 IPS |
