| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:41 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| 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 | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3288
611.4 IPS |
|
|
Image Classification (HP)
|
100% |
3595
668.5 IPS |
|
|
Image Classification (Q)
|
100% |
10023
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4112
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4291
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11480
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8331
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
8337
9.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
32411
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3503
277.9 IPS |
|
|
Object Detection (HP)
|
100% |
3434
272.4 IPS |
|
|
Object Detection (Q)
|
88% |
10008
802.2 IPS |
|
|
Face Detection (SP)
|
100% |
8402
99.8 IPS |
|
|
Face Detection (HP)
|
100% |
7002
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
29191
346.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8725
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9308
71.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
24715
192.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21966
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22473
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
85736
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4783
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4560
168.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15494
573.8 IPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
3819
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4040
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6429
110.7 IPS |