| Upload Date | December 04 2025 12:59 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS D701MER_S501SER |
| Motherboard | ASUSTeK COMPUTER INC. D701MER |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3934
731.6 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (Q)
|
99% |
6543
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11087
180.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8818
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4296
5.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
28948
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3613
286.6 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (Q)
|
86% |
6910
555.4 IPS |
|
|
Face Detection (SP)
|
100% |
10916
129.7 IPS |
|
|
Face Detection (HP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
10570
126.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10523
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2030
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17156
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19680
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10078
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25193
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3228
119.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5701
211.1 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
672
896.9 IPS |
|
|
Text Classification (Q)
|
97% |
1428
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3279
65.9 IPS |