HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
5136
Single Precision Score
8307
Half Precision Score
3697
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 11:34 AM |
| Views | 13 |
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% |
2633
489.7 IPS |
|
|
Image Classification (HP)
|
100% |
4798
892.2 IPS |
|
|
Image Classification (Q)
|
100% |
2305
428.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3326
53.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8122
131.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2612
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14847
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21492
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12619
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2883
228.7 IPS |
|
|
Object Detection (HP)
|
99% |
5578
443.7 IPS |
|
|
Object Detection (Q)
|
86% |
2380
191.3 IPS |
|
|
Face Detection (SP)
|
100% |
4852
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
9631
114.4 IPS |
|
|
Face Detection (Q)
|
97% |
3679
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10844
83.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
22474
173.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
8424
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
45920
59.0 IPS |
|
|
Style Transfer (HP)
|
100% |
73308
94.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32184
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7706
284.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12635
466.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4296
159.1 IPS |
|
|
Text Classification (SP)
|
86% |
813
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
705
941.0 IPS |
|
|
Text Classification (Q)
|
84% |
609
826.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1012
19.0 IPS |
