| User | Maddog54 |
| Upload Date | March 27 2026 05:02 AM |
| Views | 5 |
| 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 Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| Power Plan | Balanced |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3278
609.5 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.6 IPS |
|
|
Image Classification (Q)
|
99% |
7602
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10581
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7893
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6168
7.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
27874
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
3273
259.6 IPS |
|
|
Object Detection (HP)
|
100% |
931
73.8 IPS |
|
|
Object Detection (Q)
|
86% |
7905
635.3 IPS |
|
|
Face Detection (SP)
|
100% |
6688
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
1994
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
10669
127.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9103
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2986
23.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16792
134.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17161
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15219
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34561
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2632
97.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2375
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
1647
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1491
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3172
63.7 IPS |