| User | iClondike |
| Upload Date | January 17 2026 11:49 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 6600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | CHUWI Innovation And Technology(ShenZhen)co.,Ltd UBox |
| Motherboard | CHUWI Innovation And Technology(ShenZhen)co.,Ltd UBox |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (HP)
|
100% |
2393
445.0 IPS |
|
|
Image Classification (Q)
|
100% |
4014
746.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
996
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4205
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4778
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4747
5.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
10115
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (Q)
|
87% |
4036
323.7 IPS |
|
|
Face Detection (SP)
|
100% |
4333
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
4449
52.9 IPS |
|
|
Face Detection (Q)
|
97% |
11461
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5957
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6030
46.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
10888
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12991
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13647
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28813
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2773
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2723
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5910
218.9 IPS |
|
|
Text Classification (SP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (Q)
|
91% |
1263
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3306
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3211
55.3 IPS |