HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC
Geekbench AI Score
2809
Single Precision Score
2944
Half Precision Score
1812
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | October 16 2025 01:21 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC |
| Motherboard | HP 89C0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1190
221.3 IPS |
|
|
Image Classification (HP)
|
100% |
1300
241.8 IPS |
|
|
Image Classification (Q)
|
100% |
1061
197.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1426
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11032
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12532
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5733
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
98% |
1291
102.7 IPS |
|
|
Object Detection (Q)
|
86% |
1188
95.5 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (Q)
|
97% |
1981
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6563
50.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4127
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25085
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32847
42.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15713
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3298
121.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4439
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1444
53.5 IPS |
|
|
Text Classification (SP)
|
100% |
642
857.2 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.5 IPS |
|
|
Text Classification (Q)
|
97% |
394
528.2 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
70% |
509
9.55 IPS |
