| User | sudutmata |
| Upload Date | December 08 2025 04:45 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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 F8BSC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 255 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2931
545.0 IPS |
|
|
Image Classification (HP)
|
100% |
4522
841.0 IPS |
|
|
Image Classification (Q)
|
100% |
2669
496.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3976
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4702
76.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3220
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37505
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69455
81.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27692
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
3875
307.4 IPS |
|
|
Object Detection (Q)
|
87% |
2450
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
5985
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
10870
129.2 IPS |
|
|
Face Detection (Q)
|
97% |
5060
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16838
129.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27796
214.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13097
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
62841
80.8 IPS |
|
|
Style Transfer (HP)
|
100% |
110011
141.4 IPS |
|
|
Style Transfer (Q)
|
98% |
44042
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11756
434.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22273
822.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8282
306.7 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3128
4.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1666
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3606
62.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1653
31.0 IPS |