HP HP Z2 Mini G4 Workstation
Geekbench AI Score
1658
Single Precision Score
849
Half Precision Score
2512
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sgh |
| Upload Date | May 30 2025 05:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Mini G4 Workstation |
| Motherboard | HP 8457 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1214
225.8 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (Q)
|
96% |
2225
415.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
1614
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3009
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2957
3.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
6593
7.79 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (Q)
|
58% |
1639
179.1 IPS |
|
|
Face Detection (SP)
|
100% |
1822
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (Q)
|
96% |
4190
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3446
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1207
9.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
5460
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7119
9.15 IPS |
|
|
Style Transfer (HP)
|
100% |
5798
7.45 IPS |
|
|
Style Transfer (Q)
|
87% |
7100
9.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1650
61.1 IPS |
|
|
Text Classification (SP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
536
715.2 IPS |
|
|
Text Classification (Q)
|
97% |
874
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
68% |
1104
21.3 IPS |
