| User | hevenzly |
| Upload Date | January 18 2026 06:03 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3100
576.4 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (Q)
|
99% |
8026
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1200
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11236
182.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7662
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
6053
7.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
27423
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
2937
233.0 IPS |
|
|
Object Detection (HP)
|
100% |
873
69.3 IPS |
|
|
Object Detection (Q)
|
86% |
7971
640.6 IPS |
|
|
Face Detection (SP)
|
100% |
6346
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
9227
110.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8736
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2707
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16437
131.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17124
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15776
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33353
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2612
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1547
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3036
61.0 IPS |