HP Tower G9 Workstation Desktop PC HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
2513
Single Precision Score
3806
Half Precision Score
5895
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | December 11 2025 08:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1517
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.3 IPS |
|
|
Image Classification (Q)
|
99% |
3857
719.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3750
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4219
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4094
4.78 IPS |
|
|
Pose Estimation (HP)
|
99% |
2983
3.48 IPS |
|
|
Pose Estimation (Q)
|
97% |
12157
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
98% |
2233
177.7 IPS |
|
|
Object Detection (Q)
|
90% |
4167
333.1 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
7495
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
10179
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4819
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8069
62.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10967
85.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10601
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17740
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28280
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1903
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3125
115.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6332
234.5 IPS |
|
|
Text Classification (SP)
|
71% |
1118
1.62 KIPS |
|
|
Text Classification (HP)
|
71% |
1351
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
1388
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2214
38.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2217
38.2 IPS |
