| User | TomKauw |
| Upload Date | July 15 2025 01:46 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8863
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
15712
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
8102
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14564
236.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22078
357.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13868
225.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
101744
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
308722
360.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
94849
111.1 IPS |
|
|
Object Detection (SP)
|
100% |
10704
849.0 IPS |
|
|
Object Detection (HP)
|
100% |
19742
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
8955
723.5 IPS |
|
|
Face Detection (SP)
|
100% |
24239
288.0 IPS |
|
|
Face Detection (HP)
|
100% |
39324
467.2 IPS |
|
|
Face Detection (Q)
|
97% |
19851
236.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
47568
366.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
102781
791.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
33933
270.8 IPS |
|
|
Style Transfer (SP)
|
100% |
148001
190.3 IPS |
|
|
Style Transfer (HP)
|
100% |
494995
636.3 IPS |
|
|
Style Transfer (Q)
|
98% |
129644
167.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30042
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60067
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22591
836.5 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2072
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4448
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1446
27.1 IPS |