| User | anbG34 |
| Upload Date | September 12 2024 07:40 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| 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 8945HS |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.7 IPS |
|
|
Image Classification (Q)
|
99% |
5151
960.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2753
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5929
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4924
5.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
25165
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
88% |
2145
172.0 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
1788
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
5412
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7422
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2575
19.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5395
43.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14501
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13587
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28168
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2575
95.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3700
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
447
599.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2187
48.8 IPS |