| User | SDAOnliner |
| Upload Date | October 15 2024 08:41 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA |
| Motherboard | ASUSTeK COMPUTER INC. M5606WA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1749
325.3 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
99% |
4170
777.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
875
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2768
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7321
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5820
6.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
25698
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
2056
163.1 IPS |
|
|
Object Detection (HP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
88% |
2431
194.8 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
5089
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7223
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2680
20.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6774
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16515
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14582
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31050
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2455
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4305
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1700
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2712
60.5 IPS |