| User | yee245 |
| Upload Date | September 02 2025 03:18 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1743
324.2 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
1897
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3494
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2759
3.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
5828
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
58% |
1548
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
96% |
4540
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4369
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1624
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5970
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8478
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6379
8.20 IPS |
|
|
Style Transfer (Q)
|
87% |
10728
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2668
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
725
968.1 IPS |
|
|
Text Classification (Q)
|
97% |
420
562.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1873
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1811
35.0 IPS |