HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC
Geekbench AI Score
8158
Single Precision Score
16271
Half Precision Score
5762
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | October 16 2025 01:24 PM |
| Views | 2 |
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% |
3335
620.2 IPS |
|
|
Image Classification (HP)
|
99% |
6400
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
2687
501.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5387
87.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9626
156.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4617
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
36908
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
125889
146.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
30765
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
4006
317.7 IPS |
|
|
Object Detection (HP)
|
100% |
8510
675.0 IPS |
|
|
Object Detection (Q)
|
84% |
3166
255.4 IPS |
|
|
Face Detection (SP)
|
100% |
8891
105.6 IPS |
|
|
Face Detection (HP)
|
100% |
16537
196.5 IPS |
|
|
Face Detection (Q)
|
97% |
7893
94.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18307
141.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
39753
306.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13749
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
63356
81.4 IPS |
|
|
Style Transfer (HP)
|
100% |
168307
216.4 IPS |
|
|
Style Transfer (Q)
|
98% |
50492
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13004
480.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23513
868.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8072
298.9 IPS |
|
|
Text Classification (SP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2831
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2677
46.1 IPS |
|
|
Machine Translation (Q)
|
70% |
995
18.7 IPS |
