| Upload Date | June 11 2025 07:39 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| 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% |
2697
501.6 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.2 IPS |
|
|
Image Classification (Q)
|
99% |
4711
878.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4465
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8776
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4643
5.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
29749
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3014
239.1 IPS |
|
|
Object Detection (HP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (Q)
|
88% |
2727
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
5661
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
2127
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
6258
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9546
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2373
18.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
11632
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20320
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11592
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33839
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6241
231.1 IPS |
|
|
Text Classification (SP)
|
100% |
2049
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2138
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3329
74.3 IPS |