| Upload Date | November 12 2025 01:50 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Bosgame BeyondMax Series |
| Motherboard | Bosgame AXB35-02 |
| Power Plan | Ausbalanciert |
| 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% |
6575
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (Q)
|
99% |
13166
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16322
265.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14740
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10593
12.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
45868
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
6242
495.1 IPS |
|
|
Object Detection (HP)
|
100% |
915
72.6 IPS |
|
|
Object Detection (Q)
|
86% |
13564
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
12518
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
13589
162.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16522
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3115
24.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11080
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28950
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25960
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51679
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4516
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3343
123.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4543
168.2 IPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1165
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1803
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4464
89.7 IPS |