| Upload Date | November 17 2025 09:20 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Dell Pro Max 14 MC14255 |
| Motherboard | Dell Inc. 0MVNJ6 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| 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% |
2181
405.6 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
99% |
4799
895.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
940
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6330
102.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5212
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4614
5.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
19166
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.2 IPS |
|
|
Object Detection (HP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (Q)
|
86% |
4581
368.2 IPS |
|
|
Face Detection (SP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
1318
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
7472
89.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6278
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1930
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10141
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11260
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11845
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24134
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1694
62.7 IPS |
|
|
Text Classification (SP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
519
692.2 IPS |
|
|
Text Classification (Q)
|
97% |
880
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2339
47.0 IPS |