Hewlett-Packard HP ProOne 600 G1 AiO
Geekbench AI Score
1460
Single Precision Score
741
Half Precision Score
1666
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 09:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4570S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP ProOne 600 G1 AiO |
| Motherboard | Hewlett-Packard 18E8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570S |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1134
210.9 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (Q)
|
96% |
1187
221.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
574
9.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
1465
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1993
2.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
2644
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (HP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (Q)
|
58% |
864
94.3 IPS |
|
|
Face Detection (SP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (Q)
|
96% |
2658
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2972
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1065
8.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
2936
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5314
6.83 IPS |
|
|
Style Transfer (HP)
|
100% |
4349
5.59 IPS |
|
|
Style Transfer (Q)
|
87% |
5232
6.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
998
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1329
49.2 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
471
629.2 IPS |
|
|
Text Classification (Q)
|
97% |
707
947.5 IPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (Q)
|
68% |
1086
21.0 IPS |
