| User | teknoseyir |
| Upload Date | September 19 2024 09:04 AM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Dengeli |
| 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% |
1892
351.9 IPS |
|
|
Image Classification (HP)
|
100% |
4431
824.1 IPS |
|
|
Image Classification (Q)
|
100% |
1614
300.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4387
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5405
87.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3659
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
41825
48.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
60487
70.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29332
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
2076
164.7 IPS |
|
|
Object Detection (HP)
|
100% |
2609
206.9 IPS |
|
|
Object Detection (Q)
|
89% |
1744
139.6 IPS |
|
|
Face Detection (SP)
|
100% |
5860
69.6 IPS |
|
|
Face Detection (HP)
|
100% |
9692
115.2 IPS |
|
|
Face Detection (Q)
|
97% |
4658
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17978
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21438
165.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
12248
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68147
87.6 IPS |
|
|
Style Transfer (HP)
|
100% |
106727
137.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40359
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8011
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10896
402.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6179
228.8 IPS |
|
|
Text Classification (SP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1734
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1181
26.3 IPS |