HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
6121
Single Precision Score
6142
Half Precision Score
13683
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 10:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3672
682.8 IPS |
|
|
Image Classification (HP)
|
100% |
3850
716.0 IPS |
|
|
Image Classification (Q)
|
100% |
8436
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4992
80.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4973
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9110
147.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7523
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
7511
8.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
27922
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
3653
289.8 IPS |
|
|
Object Detection (HP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (Q)
|
88% |
9059
726.2 IPS |
|
|
Face Detection (SP)
|
100% |
9085
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
9019
107.2 IPS |
|
|
Face Detection (Q)
|
100% |
20548
244.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9381
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9272
71.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
23500
182.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22752
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22281
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
76604
98.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4655
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14459
535.5 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (Q)
|
92% |
4782
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4740
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4808
82.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4629
79.7 IPS |
