| User | GregoR_44 |
| Upload Date | December 12 2025 06:15 PM |
| Views | 8 |
| 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 MercedesAMG AI+ A3XWGG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FM |
| Power Plan | Zrwnowaony |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2953
549.2 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
99% |
6641
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8191
133.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4718
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3900
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
17484
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.7 IPS |
|
|
Object Detection (HP)
|
100% |
549
43.5 IPS |
|
|
Object Detection (Q)
|
86% |
4827
387.9 IPS |
|
|
Face Detection (SP)
|
100% |
4664
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
7126
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5798
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1690
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12403
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10643
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10356
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23628
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3292
121.9 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
699
933.5 IPS |
|
|
Text Classification (Q)
|
97% |
1115
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2175
43.7 IPS |