| Upload Date | November 30 2025 02:42 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | NixOS 25.11 (Xantusia) |
| Model | Micro Computer (HK) Tech Limited MS-S1 MAX |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd SHWSA |
| 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 124.95 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1719
319.8 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.2 IPS |
|
|
Image Classification (Q)
|
97% |
9635
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
3254
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20223
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9783
11.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
67917
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
86% |
11630
934.6 IPS |
|
|
Face Detection (SP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
402
4.78 IPS |
|
|
Face Detection (Q)
|
97% |
18552
221.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12101
93.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1257
9.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
19440
155.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34235
44.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23690
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42521
54.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2929
108.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5042
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
683
912.0 IPS |
|
|
Text Classification (Q)
|
97% |
1814
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2907
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4974
99.9 IPS |