| Upload Date | December 13 2025 12:27 PM |
| Views | 7 |
| 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 | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| Power Plan | Advanced SystemCare |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3262
606.6 IPS |
|
|
Image Classification (HP)
|
100% |
3228
600.3 IPS |
|
|
Image Classification (Q)
|
100% |
9882
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4150
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4272
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12114
196.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7787
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
7848
9.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
30625
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
3164
251.0 IPS |
|
|
Object Detection (HP)
|
100% |
3139
249.0 IPS |
|
|
Object Detection (Q)
|
88% |
8921
715.1 IPS |
|
|
Face Detection (SP)
|
100% |
8000
95.1 IPS |
|
|
Face Detection (HP)
|
100% |
8076
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
25541
303.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9066
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9267
71.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
24135
187.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21163
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21153
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
79537
102.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4256
157.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4592
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15467
572.8 IPS |
|
|
Text Classification (SP)
|
100% |
3141
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (Q)
|
92% |
4049
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5003
86.2 IPS |