Hewlett-Packard HP ProOne 600 G1 AiO
Geekbench AI Score
1377
Single Precision Score
711
Half Precision Score
1598
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 09:19 PM |
| Views | 7 |
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% |
1046
194.5 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
96% |
1132
211.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
1401
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2286
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1885
2.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
2527
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
970
76.9 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
58% |
839
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (Q)
|
96% |
2534
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2779
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1016
7.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
2796
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5155
6.63 IPS |
|
|
Style Transfer (HP)
|
100% |
4220
5.42 IPS |
|
|
Style Transfer (Q)
|
87% |
5003
6.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
988
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1302
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
457
609.9 IPS |
|
|
Text Classification (Q)
|
97% |
685
918.1 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (Q)
|
68% |
1023
19.8 IPS |
