HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
13617
Single Precision Score
24835
Half Precision Score
10773
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 11:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation Laptop GPU |
| 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% |
5703
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
9896
1.85 KIPS |
|
|
Image Classification (Q)
|
99% |
5239
977.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10801
175.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15951
258.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9695
157.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
54093
63.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
178403
208.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
49331
57.8 IPS |
|
|
Object Detection (SP)
|
100% |
6631
525.9 IPS |
|
|
Object Detection (HP)
|
100% |
13384
1.06 KIPS |
|
|
Object Detection (Q)
|
84% |
5786
466.7 IPS |
|
|
Face Detection (SP)
|
100% |
16740
198.9 IPS |
|
|
Face Detection (HP)
|
100% |
29571
351.4 IPS |
|
|
Face Detection (Q)
|
97% |
14817
176.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27242
209.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
64473
496.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
24213
193.7 IPS |
|
|
Style Transfer (SP)
|
100% |
104174
133.9 IPS |
|
|
Style Transfer (HP)
|
100% |
283045
363.9 IPS |
|
|
Style Transfer (Q)
|
98% |
97529
125.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22144
817.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37032
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16372
606.2 IPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
3037
4.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1506
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1685
31.6 IPS |
