| User | Hochstenbach |
| Upload Date | May 05 2025 07:46 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 | Micro-Star International Co., Ltd. Stealth A16 AI+ A3XVFG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FK |
| Power Plan | Balanced |
| 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% |
2790
518.8 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
99% |
5991
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3178
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5955
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4953
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
26463
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2858
226.7 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
86% |
7222
580.4 IPS |
|
|
Face Detection (SP)
|
100% |
5786
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
10250
122.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7840
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2596
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15352
122.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13749
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13591
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29182
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3741
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
1558
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
674
900.3 IPS |
|
|
Text Classification (Q)
|
97% |
1725
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2020
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3116
62.6 IPS |