HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC
Geekbench AI Score
4733
Single Precision Score
6632
Half Precision Score
10547
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | October 29 2025 04:03 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
2983
554.8 IPS |
|
|
Image Classification (HP)
|
100% |
4535
843.3 IPS |
|
|
Image Classification (Q)
|
99% |
6355
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4347
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7132
115.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9355
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10536
12.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
7861
9.17 IPS |
|
|
Pose Estimation (Q)
|
97% |
32489
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (HP)
|
100% |
4180
331.6 IPS |
|
|
Object Detection (Q)
|
90% |
7222
577.4 IPS |
|
|
Face Detection (SP)
|
100% |
6578
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
11350
134.9 IPS |
|
|
Face Detection (Q)
|
100% |
18234
216.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9662
74.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
15693
121.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
21116
164.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27043
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40383
51.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72386
93.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4571
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7006
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13048
483.2 IPS |
|
|
Text Classification (SP)
|
71% |
1336
1.93 KIPS |
|
|
Text Classification (HP)
|
71% |
1297
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
1415
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2370
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2373
41.0 IPS |
