| User | zedmanauk |
| Upload Date | September 03 2025 04:37 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 610M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited DeskMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F1FXM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (Q)
|
100% |
669
124.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
998
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6611
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
10785
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5918
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.1 IPS |
|
|
Object Detection (HP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
87% |
681
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
2000
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3756
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4508
34.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3270
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11246
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16280
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9877
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2797
103.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.0 IPS |
|
|
Text Classification (HP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
506
677.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (Q)
|
70% |
600
11.3 IPS |