HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
5358
Single Precision Score
8599
Half Precision Score
3819
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | felixskw |
| Upload Date | September 21 2025 01:24 PM |
| Views | 8 |
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% |
2792
519.2 IPS |
|
|
Image Classification (HP)
|
100% |
5172
961.9 IPS |
|
|
Image Classification (Q)
|
100% |
2385
443.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3334
54.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8272
134.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2677
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14966
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21730
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12849
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
3019
239.5 IPS |
|
|
Object Detection (HP)
|
99% |
5893
468.7 IPS |
|
|
Object Detection (Q)
|
86% |
2457
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
4881
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
9662
114.8 IPS |
|
|
Face Detection (Q)
|
97% |
3721
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11354
87.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
23403
180.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
8657
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47101
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
74892
96.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32544
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8173
301.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12364
456.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4452
164.8 IPS |
|
|
Text Classification (SP)
|
86% |
903
1.22 KIPS |
|
|
Text Classification (HP)
|
99% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
84% |
652
884.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2411
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1076
20.2 IPS |
