| User | SDAOnliner |
| Upload Date | October 16 2024 08:53 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7535HS with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406NA_M5406NA |
| Motherboard | ASUSTeK COMPUTER INC. M5406NA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2479
461.1 IPS |
|
|
Image Classification (HP)
|
100% |
2544
473.1 IPS |
|
|
Image Classification (Q)
|
100% |
3950
734.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3398
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4773
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4634
5.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
9845
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (HP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (Q)
|
87% |
3903
313.0 IPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4341
51.6 IPS |
|
|
Face Detection (Q)
|
97% |
10201
121.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6053
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6108
47.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
10751
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14159
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14268
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28885
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6130
227.1 IPS |
|
|
Text Classification (SP)
|
100% |
1988
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (Q)
|
91% |
1499
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3433
59.1 IPS |