| Upload Date | November 12 2025 09:46 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAPPHIRE Technology Ltd SAPPHIRE EDGE AI 370 |
| Motherboard | SAPPHIRE EDGE AI 370 |
| 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% |
3102
576.8 IPS |
|
|
Image Classification (HP)
|
100% |
5464
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
1954
363.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4014
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5445
88.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3380
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45148
52.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
96094
112.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
32815
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (HP)
|
100% |
3028
240.2 IPS |
|
|
Object Detection (Q)
|
87% |
1950
156.6 IPS |
|
|
Face Detection (SP)
|
100% |
6100
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
10378
123.3 IPS |
|
|
Face Detection (Q)
|
97% |
5204
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17665
136.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26865
207.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13753
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
75133
96.6 IPS |
|
|
Style Transfer (HP)
|
100% |
130273
167.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50892
65.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11898
439.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29027
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
6815
252.3 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2748
47.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1418
26.6 IPS |