| User | slatl78 |
| Upload Date | January 30 2026 11:43 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7960
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
10815
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
5684
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11777
190.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15160
245.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8473
137.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
121785
142.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
349808
408.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
97060
113.7 IPS |
|
|
Object Detection (SP)
|
100% |
10054
797.4 IPS |
|
|
Object Detection (HP)
|
100% |
13678
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
7010
563.9 IPS |
|
|
Face Detection (SP)
|
100% |
24757
294.2 IPS |
|
|
Face Detection (HP)
|
100% |
33340
396.1 IPS |
|
|
Face Detection (Q)
|
97% |
17210
205.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
55641
428.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94776
730.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
33465
268.1 IPS |
|
|
Style Transfer (SP)
|
100% |
226432
291.1 IPS |
|
|
Style Transfer (HP)
|
100% |
458924
590.0 IPS |
|
|
Style Transfer (Q)
|
98% |
162747
209.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32892
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40484
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18323
678.5 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1232
23.1 IPS |