HP HP Z2 Mini G9 Workstation Desktop PC
Geekbench AI Score
4806
Single Precision Score
1380
Half Precision Score
7151
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 04:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Z2 Mini G9 Workstation Desktop PC |
| Motherboard | HP 895E |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4186
778.5 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
99% |
6870
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3523
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7395
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
29705
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
3818
302.8 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (Q)
|
86% |
7427
596.9 IPS |
|
|
Face Detection (SP)
|
100% |
11154
132.5 IPS |
|
|
Face Detection (HP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
10745
128.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10900
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1772
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
14618
116.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21873
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9615
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21116
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3773
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
687
917.2 IPS |
|
|
Text Classification (Q)
|
97% |
1501
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1849
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3488
70.1 IPS |
