| Upload Date | October 07 2025 03:17 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3XWJG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FL |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2842
528.5 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (Q)
|
99% |
7720
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10708
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6612
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5487
6.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
26476
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.8 IPS |
|
|
Object Detection (HP)
|
100% |
805
63.9 IPS |
|
|
Object Detection (Q)
|
86% |
7664
615.9 IPS |
|
|
Face Detection (SP)
|
100% |
5955
70.8 IPS |
|
|
Face Detection (HP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11466
136.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7765
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2660
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16725
133.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14501
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14782
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31071
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1634
60.5 IPS |
|
|
Text Classification (SP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1439
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3025
60.8 IPS |