| User | inc7007 |
| Upload Date | January 25 2025 08:32 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8745H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745H 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3581
666.0 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.4 IPS |
|
|
Image Classification (Q)
|
99% |
8363
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3708
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7624
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
26262
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3315
263.0 IPS |
|
|
Object Detection (HP)
|
100% |
905
71.8 IPS |
|
|
Object Detection (Q)
|
86% |
7942
638.3 IPS |
|
|
Face Detection (SP)
|
100% |
6466
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
11200
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9957
76.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2946
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10950
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18077
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15415
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29073
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2837
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2643
97.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3640
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
1920
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1882
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3210
64.5 IPS |