HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC
Geekbench AI Score
8941
Single Precision Score
17614
Half Precision Score
6299
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DigitalWorkspace |
| Upload Date | May 27 2025 03:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 8GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC |
| Motherboard | HP 89C0 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3930
730.9 IPS |
|
|
Image Classification (HP)
|
99% |
7218
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
3152
587.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6018
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10674
173.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4886
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34970
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
125054
145.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29887
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
4542
360.2 IPS |
|
|
Object Detection (HP)
|
100% |
9478
751.8 IPS |
|
|
Object Detection (Q)
|
84% |
3669
296.0 IPS |
|
|
Face Detection (SP)
|
100% |
10249
121.8 IPS |
|
|
Face Detection (HP)
|
100% |
18899
224.6 IPS |
|
|
Face Detection (Q)
|
97% |
8413
100.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20505
158.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47370
366.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
15208
121.9 IPS |
|
|
Style Transfer (SP)
|
100% |
62102
79.8 IPS |
|
|
Style Transfer (HP)
|
100% |
172339
221.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50267
64.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12721
469.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24485
904.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7922
293.3 IPS |
|
|
Text Classification (SP)
|
100% |
1798
2.40 KIPS |
|
|
Text Classification (HP)
|
99% |
2728
3.64 KIPS |
|
|
Text Classification (Q)
|
97% |
969
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2914
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1180
22.1 IPS |
