| User | DDD_Xleb |
| Upload Date | July 29 2025 06:33 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| 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 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3170
589.6 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.0 IPS |
|
|
Image Classification (Q)
|
99% |
7201
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11250
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8501
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
6687
7.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
28887
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3157
250.4 IPS |
|
|
Object Detection (HP)
|
100% |
828
65.7 IPS |
|
|
Object Detection (Q)
|
86% |
8291
666.3 IPS |
|
|
Face Detection (SP)
|
100% |
6669
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
1990
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
11634
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8907
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3028
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16946
135.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17492
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16726
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34447
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1385
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
1586
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1360
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2014
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3413
68.6 IPS |