| User | ollivetti |
| Upload Date | June 14 2025 02:23 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProOne 440 23.8 inch G9 All-in-One Desktop PC |
| Motherboard | HP 8959 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
99% |
3653
681.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
2164
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2231
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1398
1.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
6837
8.02 IPS |
|
|
Object Detection (SP)
|
100% |
795
63.1 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
86% |
2508
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
2434
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
813
9.66 IPS |
|
|
Face Detection (Q)
|
97% |
3798
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2180
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
953
7.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
5531
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3997
5.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3004
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
8929
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
787
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2049
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.1 IPS |
|
|
Text Classification (Q)
|
97% |
1039
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.12 IPS |
|
|
Machine Translation (Q)
|
65% |
1895
38.1 IPS |