HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
4359
Single Precision Score
1645
Half Precision Score
5988
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 10:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3354
623.8 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
99% |
6377
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2910
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7397
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
4206
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
24188
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
3245
257.4 IPS |
|
|
Object Detection (HP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
5524
443.9 IPS |
|
|
Face Detection (SP)
|
100% |
8053
95.7 IPS |
|
|
Face Detection (HP)
|
100% |
1851
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
9348
111.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9430
72.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2221
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14749
117.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16922
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10881
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22928
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3311
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4478
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
558
747.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3030
60.9 IPS |
