| Upload Date | November 12 2025 09:51 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% |
3240
602.5 IPS |
|
|
Image Classification (HP)
|
100% |
5570
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
1877
349.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4230
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8356
135.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3517
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45499
53.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
95788
111.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32406
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.6 IPS |
|
|
Object Detection (HP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (Q)
|
87% |
1995
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
6218
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
10767
127.9 IPS |
|
|
Face Detection (Q)
|
97% |
5231
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17726
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
28221
217.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
13700
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
76060
97.8 IPS |
|
|
Style Transfer (HP)
|
100% |
134653
173.1 IPS |
|
|
Style Transfer (Q)
|
98% |
51392
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11255
415.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29953
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
7506
277.9 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1848
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2643
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3457
59.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1558
29.2 IPS |