| User | Tbeachly |
| Upload Date | March 21 2025 07:38 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Performance |
| 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% |
2624
487.9 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
99% |
6831
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3516
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7965
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5986
6.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
30084
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
2735
217.0 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
7299
586.6 IPS |
|
|
Face Detection (SP)
|
100% |
5669
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
1398
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
10855
129.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8073
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2426
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8996
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17127
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14676
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31292
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2242
82.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
1452
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.1 IPS |
|
|
Text Classification (Q)
|
97% |
1472
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3934
79.1 IPS |