| User | TomKauw |
| Upload Date | February 11 2026 03:53 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS ProArt PX13 HN7306EAC |
| Motherboard | ASUSTeK COMPUTER INC. HN7306EAC |
| Power Plan | PD_Standard |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4833
898.8 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
99% |
9700
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14029
228.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13261
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10310
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
42996
50.4 IPS |
|
|
Object Detection (SP)
|
100% |
4484
355.7 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (Q)
|
86% |
11780
946.7 IPS |
|
|
Face Detection (SP)
|
100% |
11068
131.5 IPS |
|
|
Face Detection (HP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
11378
135.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14624
112.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2627
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10048
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27579
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23154
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46192
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3582
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2897
107.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.3 IPS |
|
|
Text Classification (Q)
|
97% |
1348
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3364
67.6 IPS |