HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
13926
Single Precision Score
25386
Half Precision Score
10993
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | August 14 2025 07:13 PM |
| Views | 6 |
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 | Power Plan for BackOffice and Sales profile |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5646
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
10431
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
5223
974.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10883
176.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15691
254.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9763
158.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
59149
69.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
187214
218.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
52984
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
6890
546.5 IPS |
|
|
Object Detection (HP)
|
100% |
13913
1.10 KIPS |
|
|
Object Detection (Q)
|
84% |
6240
503.3 IPS |
|
|
Face Detection (SP)
|
100% |
18318
217.7 IPS |
|
|
Face Detection (HP)
|
100% |
30269
359.7 IPS |
|
|
Face Detection (Q)
|
97% |
16137
192.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
30427
234.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
67530
520.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25418
203.3 IPS |
|
|
Style Transfer (SP)
|
100% |
102360
131.6 IPS |
|
|
Style Transfer (HP)
|
100% |
279451
359.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93463
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20766
766.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38243
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16174
598.9 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1479
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3879
66.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1668
31.3 IPS |
