| User | TBayliss |
| Upload Date | March 17 2026 02:32 PM |
| Views | 6 |
| 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% |
9243
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
6779
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
10121
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20319
329.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
29800
483.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18110
294.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
118048
137.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
267153
311.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
102803
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
6970
552.9 IPS |
|
|
Object Detection (HP)
|
100% |
12221
969.4 IPS |
|
|
Object Detection (Q)
|
87% |
6850
550.1 IPS |
|
|
Face Detection (SP)
|
100% |
28161
334.6 IPS |
|
|
Face Detection (HP)
|
100% |
41709
495.6 IPS |
|
|
Face Detection (Q)
|
97% |
23677
282.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
52606
405.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
70902
546.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
43741
350.8 IPS |
|
|
Style Transfer (SP)
|
100% |
198408
255.1 IPS |
|
|
Style Transfer (HP)
|
100% |
387190
497.7 IPS |
|
|
Style Transfer (Q)
|
98% |
180720
233.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40413
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57552
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29504
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3726
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2858
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5876
101.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5862
101.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3494
65.5 IPS |