| Upload Date | December 07 2025 04:58 AM |
| Views | 2 |
| 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 |
| 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% |
3597
669.0 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.9 IPS |
|
|
Image Classification (Q)
|
99% |
8435
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10296
167.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7333
8.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
5931
6.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
26533
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
3136
248.8 IPS |
|
|
Object Detection (HP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (Q)
|
86% |
8222
660.8 IPS |
|
|
Face Detection (SP)
|
100% |
5873
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
11453
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9842
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2880
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6206
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10731
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9700
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23580
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5361
198.5 IPS |
|
|
Text Classification (SP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1713
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1994
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2795
56.2 IPS |