| User | TBayliss |
| Upload Date | March 17 2026 02:24 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ONE-NETBOOK ONEXPLAYER SUPER X |
| Motherboard | ONE-NETBOOK ONEXPLAYER SUPER X |
| 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% |
9726
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
11464
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8885
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13314
215.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14725
238.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17423
283.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
114661
133.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
254795
297.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
99581
116.6 IPS |
|
|
Object Detection (SP)
|
100% |
5814
461.1 IPS |
|
|
Object Detection (HP)
|
100% |
10922
866.4 IPS |
|
|
Object Detection (Q)
|
87% |
5656
454.3 IPS |
|
|
Face Detection (SP)
|
100% |
28661
340.6 IPS |
|
|
Face Detection (HP)
|
100% |
41292
490.6 IPS |
|
|
Face Detection (Q)
|
97% |
23798
283.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
47613
366.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
64236
494.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
42594
341.6 IPS |
|
|
Style Transfer (SP)
|
100% |
208455
268.0 IPS |
|
|
Style Transfer (HP)
|
100% |
368772
474.1 IPS |
|
|
Style Transfer (Q)
|
98% |
180369
232.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33730
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50190
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28052
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3871
5.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2807
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4938
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4945
85.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2840
53.3 IPS |