HP HP ZBook Studio 16 inch G9 Mobile Workstation PC
Geekbench AI Score
2922
Single Precision Score
3028
Half Precision Score
6993
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | August 12 2025 05:31 PM |
| Views | 9 |
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% |
1883
350.1 IPS |
|
|
Image Classification (HP)
|
100% |
1764
328.0 IPS |
|
|
Image Classification (Q)
|
100% |
4436
825.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4481
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3647
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
13660
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (Q)
|
88% |
4454
357.1 IPS |
|
|
Face Detection (SP)
|
100% |
4169
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4511
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
8897
105.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4504
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4478
34.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
11521
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10849
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10811
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37189
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2237
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7162
265.2 IPS |
|
|
Text Classification (SP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1832
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
2951
3.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2434
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2873
49.5 IPS |
