HP HP Z2 Mini G9 Workstation Desktop PC
Geekbench AI Score
5237
Single Precision Score
1631
Half Precision Score
8314
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | miesupport |
| Upload Date | March 19 2025 02:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Mini G9 Workstation Desktop PC |
| Motherboard | HP 895E |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4054
753.9 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.3 IPS |
|
|
Image Classification (Q)
|
99% |
7415
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1231
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4268
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9933
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4605
5.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
32584
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3959
314.0 IPS |
|
|
Object Detection (HP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (Q)
|
86% |
7410
595.5 IPS |
|
|
Face Detection (SP)
|
100% |
11287
134.1 IPS |
|
|
Face Detection (HP)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
11488
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11978
92.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2112
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18657
148.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21859
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11223
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25487
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3571
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2137
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5509
204.0 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
703
937.9 IPS |
|
|
Text Classification (Q)
|
97% |
1740
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2322
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3945
79.3 IPS |
