HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
4338
Single Precision Score
1758
Half Precision Score
7959
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 01:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | QuickCpuScheme |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3035
564.3 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.1 IPS |
|
|
Image Classification (Q)
|
99% |
6492
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9116
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7668
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4787
5.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
25497
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3296
261.4 IPS |
|
|
Object Detection (HP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (Q)
|
86% |
6420
516.0 IPS |
|
|
Face Detection (SP)
|
100% |
8625
102.5 IPS |
|
|
Face Detection (HP)
|
100% |
1865
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
9880
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9624
74.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2448
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15406
122.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17539
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11868
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22756
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3239
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6066
224.6 IPS |
|
|
Text Classification (SP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3142
63.1 IPS |
