| User | SubLexx |
| Upload Date | November 28 2025 11:18 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3228
600.3 IPS |
|
|
Image Classification (HP)
|
100% |
3204
595.8 IPS |
|
|
Image Classification (Q)
|
100% |
9575
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4312
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4065
65.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10901
176.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7681
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
7680
8.96 IPS |
|
|
Pose Estimation (Q)
|
98% |
30011
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
3272
259.6 IPS |
|
|
Object Detection (HP)
|
100% |
3289
260.9 IPS |
|
|
Object Detection (Q)
|
88% |
8820
707.0 IPS |
|
|
Face Detection (SP)
|
100% |
8930
106.1 IPS |
|
|
Face Detection (HP)
|
100% |
8654
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
26131
310.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9599
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9251
71.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
23755
184.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21081
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20919
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
78925
101.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4401
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4411
162.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14296
529.4 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
3682
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4337
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4236
73.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5588
96.3 IPS |