HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
13660
Single Precision Score
24736
Half Precision Score
10534
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 11:12 AM |
| Views | 19 |
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% |
5803
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
9976
1.86 KIPS |
|
|
Image Classification (Q)
|
99% |
5194
968.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
10887
176.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16035
259.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9022
146.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
55528
64.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
172223
201.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
47942
56.2 IPS |
|
|
Object Detection (SP)
|
100% |
6509
516.3 IPS |
|
|
Object Detection (HP)
|
100% |
13512
1.07 KIPS |
|
|
Object Detection (Q)
|
84% |
5865
473.1 IPS |
|
|
Face Detection (SP)
|
100% |
17030
202.3 IPS |
|
|
Face Detection (HP)
|
100% |
29648
352.3 IPS |
|
|
Face Detection (Q)
|
97% |
14799
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28803
221.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
64477
496.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
23821
190.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96270
123.8 IPS |
|
|
Style Transfer (HP)
|
100% |
273859
352.0 IPS |
|
|
Style Transfer (Q)
|
98% |
90258
116.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22205
819.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36552
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15792
584.8 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
3082
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1506
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1688
31.7 IPS |
