| User | TomKauw |
| Upload Date | January 05 2026 10:41 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| 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 | Turbo |
| 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% |
10890
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
17018
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
9649
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18028
292.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26938
436.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16966
275.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
159432
186.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
472664
551.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
127776
149.7 IPS |
|
|
Object Detection (SP)
|
100% |
13757
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
22471
1.78 KIPS |
|
|
Object Detection (Q)
|
86% |
12024
966.0 IPS |
|
|
Face Detection (SP)
|
100% |
37989
451.4 IPS |
|
|
Face Detection (HP)
|
100% |
59021
701.3 IPS |
|
|
Face Detection (Q)
|
97% |
30855
367.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
62169
479.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
141177
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
41355
330.2 IPS |
|
|
Style Transfer (SP)
|
100% |
223290
287.0 IPS |
|
|
Style Transfer (HP)
|
100% |
767484
986.6 IPS |
|
|
Style Transfer (Q)
|
98% |
192106
247.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37448
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66243
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28618
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4074
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2086
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5382
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5534
95.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2069
38.8 IPS |