| User | Bullit |
| Upload Date | April 17 2025 11:42 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 M5506WA_M5506WA |
| Motherboard | ASUSTeK COMPUTER INC. M5506WA |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3258
605.9 IPS |
|
|
Image Classification (HP)
|
100% |
3175
590.4 IPS |
|
|
Image Classification (Q)
|
100% |
9159
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3786
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3795
61.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9947
161.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6946
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
6909
8.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
26512
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3027
240.1 IPS |
|
|
Object Detection (HP)
|
100% |
3111
246.8 IPS |
|
|
Object Detection (Q)
|
88% |
8201
657.4 IPS |
|
|
Face Detection (SP)
|
100% |
7779
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
7637
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
21694
257.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8360
64.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
22823
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18533
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18740
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
69234
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3932
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3942
145.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12883
477.1 IPS |
|
|
Text Classification (SP)
|
100% |
2722
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
3830
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6095
105.0 IPS |