| User | MSZ |
| Upload Date | August 04 2025 03:12 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro B660M-C D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2396
445.6 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
99% |
4388
818.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3814
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8548
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3837
4.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
28945
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.7 IPS |
|
|
Object Detection (Q)
|
88% |
2348
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
1663
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
4482
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8377
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2055
15.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
9401
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19864
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10663
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22064
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5131
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
718
958.6 IPS |
|
|
Text Classification (Q)
|
97% |
1758
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2781
62.0 IPS |