HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC
Geekbench AI Score
9126
Single Precision Score
17384
Half Precision Score
6103
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | October 29 2025 04:13 PM |
| Views | 12 |
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% |
3316
616.7 IPS |
|
|
Image Classification (HP)
|
99% |
6990
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
3023
563.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5911
95.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10003
162.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4697
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37508
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
125912
146.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
31113
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
4719
374.4 IPS |
|
|
Object Detection (HP)
|
100% |
8837
701.0 IPS |
|
|
Object Detection (Q)
|
84% |
3609
291.1 IPS |
|
|
Face Detection (SP)
|
100% |
10067
119.6 IPS |
|
|
Face Detection (HP)
|
100% |
18278
217.2 IPS |
|
|
Face Detection (Q)
|
97% |
7635
91.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22157
170.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48189
372.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
15842
127.0 IPS |
|
|
Style Transfer (SP)
|
100% |
63471
81.6 IPS |
|
|
Style Transfer (HP)
|
100% |
173249
222.7 IPS |
|
|
Style Transfer (Q)
|
98% |
52521
67.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13405
495.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25588
944.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7407
274.3 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
2939
3.92 KIPS |
|
|
Text Classification (Q)
|
97% |
869
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2824
48.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1100
20.6 IPS |
