| Upload Date | December 13 2025 12:30 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 | Smart Game Boost Power Plan |
| 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% |
3268
607.8 IPS |
|
|
Image Classification (HP)
|
100% |
3399
632.1 IPS |
|
|
Image Classification (Q)
|
100% |
9766
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4155
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4130
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12038
195.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7807
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
7822
9.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
30386
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
2940
233.2 IPS |
|
|
Object Detection (Q)
|
88% |
9129
731.8 IPS |
|
|
Face Detection (SP)
|
100% |
8075
96.0 IPS |
|
|
Face Detection (HP)
|
100% |
8033
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
24719
293.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8967
69.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
24539
191.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21530
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21900
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
83938
108.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4586
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4522
167.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14789
547.7 IPS |
|
|
Text Classification (SP)
|
100% |
3141
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3129
4.18 KIPS |
|
|
Text Classification (Q)
|
92% |
3853
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4137
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4125
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5262
90.6 IPS |