| Upload Date | November 12 2025 01:38 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 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 |
| 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% |
3251
604.5 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.7 IPS |
|
|
Image Classification (Q)
|
100% |
10230
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3924
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10169
164.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7378
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
7118
8.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
30037
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3022
239.7 IPS |
|
|
Object Detection (HP)
|
100% |
3099
245.9 IPS |
|
|
Object Detection (Q)
|
88% |
9150
733.5 IPS |
|
|
Face Detection (SP)
|
100% |
6763
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
6608
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
24336
289.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9294
71.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9330
71.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
25478
198.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20373
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21109
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
80029
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4146
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4298
158.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14969
554.4 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
92% |
5711
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4946
85.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6305
108.6 IPS |