| User | Tbeachly |
| Upload Date | May 15 2025 08:20 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI |
| Motherboard | ASUSTeK COMPUTER INC. FA608WI |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
2812
523.0 IPS |
|
|
Image Classification (HP)
|
100% |
2847
529.5 IPS |
|
|
Image Classification (Q)
|
100% |
8788
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3832
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3911
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10823
175.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8034
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
7923
9.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
31028
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
2974
235.9 IPS |
|
|
Object Detection (HP)
|
100% |
2894
229.5 IPS |
|
|
Object Detection (Q)
|
88% |
9232
740.0 IPS |
|
|
Face Detection (SP)
|
100% |
8455
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
8357
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
21189
251.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8724
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8444
65.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
21951
170.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21271
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20812
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81095
104.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4268
157.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4193
154.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13928
515.8 IPS |
|
|
Text Classification (SP)
|
100% |
2595
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2647
3.53 KIPS |
|
|
Text Classification (Q)
|
92% |
3525
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5095
87.8 IPS |