| Upload Date | November 06 2025 01:15 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WP_H7606WP |
| Motherboard | ASUSTeK COMPUTER INC. H7606WP |
| Power Plan | Performance |
| 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% |
3200
595.1 IPS |
|
|
Image Classification (HP)
|
100% |
732
136.2 IPS |
|
|
Image Classification (Q)
|
99% |
7903
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11120
180.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8324
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
6572
7.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
28017
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
3316
263.0 IPS |
|
|
Object Detection (HP)
|
100% |
979
77.6 IPS |
|
|
Object Detection (Q)
|
86% |
8404
675.4 IPS |
|
|
Face Detection (SP)
|
100% |
6448
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
1846
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
9366
111.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9261
71.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2862
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16680
133.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18152
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16438
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33393
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2660
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2435
89.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1531
56.7 IPS |
|
|
Text Classification (SP)
|
100% |
1709
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1504
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3212
64.6 IPS |