| Upload Date | November 20 2025 08:05 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. 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% |
3507
652.2 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (Q)
|
99% |
6527
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3961
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7426
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4448
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
25087
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3188
252.9 IPS |
|
|
Object Detection (HP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (Q)
|
86% |
6837
549.5 IPS |
|
|
Face Detection (SP)
|
100% |
8750
104.0 IPS |
|
|
Face Detection (HP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
10582
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9589
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2055
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15647
124.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17636
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10853
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25149
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3087
114.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5139
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1937
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3450
69.3 IPS |