| User | kangyc |
| Upload Date | January 18 2026 10:40 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CORSAIR CORSAIR AI WORKSTATION 300 |
| Motherboard | CORSAIR CORSAIR AI WORKSTATION 300 |
| Power Plan | Balanced |
| 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% |
5700
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
796
148.1 IPS |
|
|
Image Classification (Q)
|
99% |
12057
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16235
264.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15479
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11966
14.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
49193
57.7 IPS |
|
|
Object Detection (SP)
|
100% |
5696
451.8 IPS |
|
|
Object Detection (HP)
|
100% |
966
76.6 IPS |
|
|
Object Detection (Q)
|
86% |
13759
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
12268
145.8 IPS |
|
|
Face Detection (HP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
13581
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16707
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3241
25.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11770
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31883
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25403
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
52070
67.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4523
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3308
122.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4171
154.4 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1155
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1833
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4308
86.6 IPS |