| Upload Date | October 31 2025 11:54 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3466
644.6 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.8 IPS |
|
|
Image Classification (Q)
|
99% |
6610
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3811
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7250
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4448
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
25652
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
3205
254.2 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
6870
552.2 IPS |
|
|
Face Detection (SP)
|
100% |
8759
104.1 IPS |
|
|
Face Detection (HP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
10558
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9561
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2177
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16841
134.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17599
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10920
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26011
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3146
116.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5217
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1842
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3527
70.9 IPS |