HP Z2 Tower G9 Workstation Desktop PC HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
4451
Single Precision Score
1644
Half Precision Score
7746
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 11 2025 07:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3500
650.9 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.2 IPS |
|
|
Image Classification (Q)
|
99% |
5923
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9220
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7711
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4168
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
24352
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3306
262.3 IPS |
|
|
Object Detection (HP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (Q)
|
86% |
6141
493.5 IPS |
|
|
Face Detection (SP)
|
100% |
8539
101.5 IPS |
|
|
Face Detection (HP)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
9637
114.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9402
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2267
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15262
121.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17203
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10004
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23911
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3261
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5962
220.8 IPS |
|
|
Text Classification (SP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1489
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2302
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3052
61.3 IPS |
