HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
2628
Single Precision Score
3912
Half Precision Score
6395
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 06:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
2743
510.2 IPS |
|
|
Image Classification (Q)
|
99% |
4493
837.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3879
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6147
99.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4185
4.88 IPS |
|
|
Pose Estimation (HP)
|
99% |
3109
3.63 IPS |
|
|
Pose Estimation (Q)
|
97% |
12954
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
98% |
2396
190.6 IPS |
|
|
Object Detection (Q)
|
90% |
4553
364.0 IPS |
|
|
Face Detection (SP)
|
100% |
4811
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
7550
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
11061
131.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4857
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8305
64.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11800
91.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10930
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19027
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29446
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3277
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6656
246.5 IPS |
|
|
Text Classification (SP)
|
71% |
1222
1.77 KIPS |
|
|
Text Classification (HP)
|
71% |
1501
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1521
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1809
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1806
31.1 IPS |
