| Upload Date | November 13 2025 09:13 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-E GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4620
859.2 IPS |
|
|
Image Classification (HP)
|
100% |
643
119.5 IPS |
|
|
Image Classification (Q)
|
99% |
7305
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8740
142.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10302
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4962
5.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
33003
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
4171
330.8 IPS |
|
|
Object Detection (HP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (Q)
|
86% |
6660
535.3 IPS |
|
|
Face Detection (SP)
|
100% |
12539
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
10553
125.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12477
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2478
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18597
148.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23298
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12344
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23880
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2311
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6433
238.2 IPS |
|
|
Text Classification (SP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
558
747.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2947
59.2 IPS |