| Upload Date | February 06 2026 10:13 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited UM690 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BFC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3026
562.7 IPS |
|
|
Image Classification (HP)
|
100% |
3052
567.6 IPS |
|
|
Image Classification (Q)
|
100% |
5129
953.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4644
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6101
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6186
7.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
13217
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2922
231.7 IPS |
|
|
Object Detection (HP)
|
100% |
2888
229.0 IPS |
|
|
Object Detection (Q)
|
87% |
5159
413.7 IPS |
|
|
Face Detection (SP)
|
100% |
6158
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
6220
73.9 IPS |
|
|
Face Detection (Q)
|
97% |
14546
173.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7824
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7772
59.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
13458
106.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17761
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17715
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38123
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3577
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7701
285.3 IPS |
|
|
Text Classification (SP)
|
100% |
3122
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (Q)
|
91% |
1191
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4035
69.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4079
70.3 IPS |