HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC
Geekbench AI Score
3529
Single Precision Score
1413
Half Precision Score
5487
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | October 16 2025 01:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12800H |
| 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% |
2888
537.0 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (Q)
|
99% |
5183
966.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5244
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5964
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3727
4.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
19083
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
86% |
4944
397.3 IPS |
|
|
Face Detection (SP)
|
100% |
6201
73.7 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
7916
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7501
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1931
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12167
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13716
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9126
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17427
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
713
951.1 IPS |
|
|
Text Classification (Q)
|
97% |
490
656.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1983
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2428
48.8 IPS |
