| User | aguyngueran |
| Upload Date | October 07 2025 06:21 PM |
| Views | 3 |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2560
476.0 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.2 IPS |
|
|
Image Classification (Q)
|
99% |
4628
863.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
5577
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3422
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2994
3.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
13994
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
468
37.2 IPS |
|
|
Object Detection (Q)
|
86% |
6600
530.4 IPS |
|
|
Face Detection (SP)
|
100% |
5385
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10124
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6649
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2319
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7528
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12160
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11497
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24391
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1903
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5835
216.1 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1698
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2061
41.4 IPS |