| User | Paddie37 |
| Upload Date | June 02 2025 11:06 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 PRO 8945HS 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 HPBSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 8945HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3778
702.6 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (Q)
|
99% |
5968
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4042
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7943
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6399
7.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
27278
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
3478
275.9 IPS |
|
|
Object Detection (HP)
|
100% |
921
73.1 IPS |
|
|
Object Detection (Q)
|
86% |
8570
688.7 IPS |
|
|
Face Detection (SP)
|
100% |
6757
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
1932
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11562
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10236
78.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2940
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7934
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18786
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15721
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29349
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2968
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2766
102.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3732
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
2049
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2031
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2555
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3784
76.0 IPS |