| Upload Date | November 09 2025 07:22 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FL |
| 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% |
3000
557.9 IPS |
|
|
Image Classification (HP)
|
100% |
715
132.9 IPS |
|
|
Image Classification (Q)
|
99% |
6724
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10293
167.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7595
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5977
6.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
26904
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
549
43.5 IPS |
|
|
Object Detection (Q)
|
86% |
7264
583.8 IPS |
|
|
Face Detection (SP)
|
100% |
6133
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
1865
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
11034
131.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8027
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2629
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15776
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16069
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15340
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31427
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2458
90.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1435
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1358
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2362
47.5 IPS |