| User | SDAOnliner |
| Upload Date | October 16 2024 08:54 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K5504VA_K5504VA |
| Motherboard | ASUSTeK COMPUTER INC. K5504VA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2620
487.3 IPS |
|
|
Image Classification (HP)
|
100% |
2658
494.2 IPS |
|
|
Image Classification (Q)
|
100% |
6028
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5465
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4893
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4909
5.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
17696
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2370
188.0 IPS |
|
|
Object Detection (HP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (Q)
|
88% |
6021
482.7 IPS |
|
|
Face Detection (SP)
|
100% |
4872
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
5895
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
10805
128.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6446
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6517
50.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
16565
128.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14489
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14361
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50084
64.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3051
112.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3084
113.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9926
367.6 IPS |
|
|
Text Classification (SP)
|
100% |
1852
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
3782
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3705
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3743
64.5 IPS |