HP HP ZBook Studio 16 inch G9 Mobile Workstation PC
Geekbench AI Score
2831
Single Precision Score
2637
Half Precision Score
6301
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | June 15 2025 01:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Studio 16 inch G9 Mobile Workstation PC |
| Motherboard | HP 89C3 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
1654
307.6 IPS |
|
|
Image Classification (Q)
|
100% |
4296
798.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1428
23.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2699
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3528
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
13051
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.6 IPS |
|
|
Object Detection (HP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (Q)
|
88% |
4299
344.6 IPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (Q)
|
100% |
7901
93.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4358
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2948
22.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10070
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10415
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10084
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35340
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7119
263.6 IPS |
|
|
Text Classification (SP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
2851
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2694
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2659
45.8 IPS |
