| Upload Date | January 06 2026 12:16 PM |
| Views | 3 |
| 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. B760M-AYW 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% |
3412
634.4 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (Q)
|
99% |
6558
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3948
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7388
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4383
5.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
25240
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
3240
257.0 IPS |
|
|
Object Detection (HP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (Q)
|
86% |
6642
533.8 IPS |
|
|
Face Detection (SP)
|
100% |
8457
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
10551
125.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9423
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2262
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16119
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17709
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10753
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24017
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3080
113.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4400
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1937
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3424
68.8 IPS |