| Upload Date | December 09 2025 12:45 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige A16 AI+ A3HMG |
| Motherboard | Micro-Star International Co., Ltd. MS-159K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| 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% |
1924
357.9 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
99% |
5274
983.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6883
111.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4467
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3942
4.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
17277
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
86% |
5579
448.4 IPS |
|
|
Face Detection (SP)
|
100% |
4617
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
7502
89.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5313
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1841
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6017
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10187
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10252
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24884
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1518
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2429
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
545
727.6 IPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2222
44.6 IPS |