| Upload Date | December 01 2025 09:06 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| 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% |
8514
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
13641
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
7909
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12465
202.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16323
264.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11865
192.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
119720
139.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
356329
415.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
105948
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
9939
788.4 IPS |
|
|
Object Detection (HP)
|
100% |
15710
1.25 KIPS |
|
|
Object Detection (Q)
|
83% |
8838
714.1 IPS |
|
|
Face Detection (SP)
|
100% |
24978
296.8 IPS |
|
|
Face Detection (HP)
|
100% |
35953
427.2 IPS |
|
|
Face Detection (Q)
|
97% |
21303
254.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
52428
403.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107565
828.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
34937
278.9 IPS |
|
|
Style Transfer (SP)
|
100% |
169130
217.4 IPS |
|
|
Style Transfer (HP)
|
100% |
547319
703.6 IPS |
|
|
Style Transfer (Q)
|
98% |
144898
186.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31147
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52962
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24056
890.8 IPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3832
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2029
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1618
30.3 IPS |