| User | yee245 |
| Upload Date | October 06 2025 08:53 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-13100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-13100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2142
398.3 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (Q)
|
99% |
4495
838.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3047
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3968
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3369
3.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
13562
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (HP)
|
100% |
799
63.4 IPS |
|
|
Object Detection (Q)
|
86% |
3902
313.6 IPS |
|
|
Face Detection (SP)
|
100% |
5745
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
6879
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5425
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2155
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11460
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9856
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7721
9.93 IPS |
|
|
Style Transfer (Q)
|
98% |
19472
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5098
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
1693
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
624
835.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3130
62.9 IPS |