HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC
Geekbench AI Score
9054
Single Precision Score
17089
Half Precision Score
6058
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | October 29 2025 04:15 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 8GB Laptop GPU |
| 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% |
3849
715.9 IPS |
|
|
Image Classification (HP)
|
99% |
6961
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
2710
505.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5761
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10103
163.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4738
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37923
44.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
127948
149.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31820
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4462
353.9 IPS |
|
|
Object Detection (HP)
|
100% |
9136
724.7 IPS |
|
|
Object Detection (Q)
|
84% |
3337
269.2 IPS |
|
|
Face Detection (SP)
|
100% |
9489
112.8 IPS |
|
|
Face Detection (HP)
|
100% |
17165
204.0 IPS |
|
|
Face Detection (Q)
|
97% |
7855
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21406
164.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44673
345.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
15190
121.8 IPS |
|
|
Style Transfer (SP)
|
100% |
63166
81.2 IPS |
|
|
Style Transfer (HP)
|
100% |
172489
221.7 IPS |
|
|
Style Transfer (Q)
|
98% |
50795
65.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13062
482.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23557
869.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7872
291.5 IPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
2940
3.92 KIPS |
|
|
Text Classification (Q)
|
97% |
955
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2821
48.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1073
20.1 IPS |
