| Upload Date | January 15 2026 02:00 AM |
| Views | 2 |
| 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 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1962
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
99% |
6278
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2544
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4724
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3696
4.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
20561
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.7 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (Q)
|
86% |
5256
422.4 IPS |
|
|
Face Detection (SP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
8842
105.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5921
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2036
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8387
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11315
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9330
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22338
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2247
83.2 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1668
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
65% |
2069
41.6 IPS |