| User | daniel_matalon |
| Upload Date | December 24 2025 11:22 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WX_H7606WX |
| Motherboard | ASUSTeK COMPUTER INC. H7606WX |
| Power Plan | Silent |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1911
355.4 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
99% |
4272
796.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6309
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4360
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4897
5.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
17404
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
86% |
4546
365.4 IPS |
|
|
Face Detection (SP)
|
100% |
4715
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
1093
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
5895
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4975
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1614
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11063
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10538
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8764
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23142
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1095
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
457
609.6 IPS |
|
|
Text Classification (Q)
|
97% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
65% |
1601
32.2 IPS |