| User | tester_one |
| Upload Date | October 21 2025 02:17 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Advantech Default string |
| Motherboard | Advantech AIMB-788E |
| Power Plan | Balanced |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3520
654.6 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.1 IPS |
|
|
Image Classification (Q)
|
99% |
5891
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7063
114.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8194
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4114
4.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
26143
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
3560
282.4 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
86% |
5501
442.1 IPS |
|
|
Face Detection (SP)
|
100% |
9839
116.9 IPS |
|
|
Face Detection (HP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
8703
103.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9310
71.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14005
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17878
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9895
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21661
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5175
191.6 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.3 IPS |
|
|
Text Classification (Q)
|
97% |
487
652.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2699
54.2 IPS |