HP Z2 Tower G9 Workstation Desktop PC HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
5669
Single Precision Score
6096
Half Precision Score
13772
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 11 2025 08:00 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3866
719.0 IPS |
|
|
Image Classification (HP)
|
100% |
3869
719.6 IPS |
|
|
Image Classification (Q)
|
100% |
8421
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5010
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5033
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9195
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7617
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
7622
8.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
28016
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
3716
294.7 IPS |
|
|
Object Detection (HP)
|
100% |
3668
290.9 IPS |
|
|
Object Detection (Q)
|
88% |
8951
717.5 IPS |
|
|
Face Detection (SP)
|
100% |
6558
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
9894
117.6 IPS |
|
|
Face Detection (Q)
|
100% |
21168
251.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9550
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7449
57.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
23521
182.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12581
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22920
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
78517
101.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14520
537.7 IPS |
|
|
Text Classification (SP)
|
100% |
3482
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (Q)
|
92% |
4875
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4769
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4569
78.7 IPS |
