| User | tester_one |
| Upload Date | October 21 2025 01:49 AM |
| Views | 5 |
| 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% |
3438
639.4 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
6047
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6999
113.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7830
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3924
4.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
20595
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2897
229.8 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
5143
413.3 IPS |
|
|
Face Detection (SP)
|
100% |
10278
122.1 IPS |
|
|
Face Detection (HP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
9256
110.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9695
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1817
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16181
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17847
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9795
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21390
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2853
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5246
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
719
959.3 IPS |
|
|
Text Classification (Q)
|
97% |
494
661.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2385
47.9 IPS |