| User | TBayliss |
| Upload Date | March 17 2026 02:27 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
2971
552.5 IPS |
|
|
Image Classification (HP)
|
100% |
3483
647.7 IPS |
|
|
Image Classification (Q)
|
100% |
7944
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4283
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3144
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10452
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8350
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
8113
9.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
17769
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
100% |
2835
224.9 IPS |
|
|
Object Detection (Q)
|
88% |
11361
910.7 IPS |
|
|
Face Detection (SP)
|
100% |
7448
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
7784
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
25390
301.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7828
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8183
63.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
19304
150.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21517
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21465
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
90305
116.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5199
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5130
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15519
574.7 IPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (Q)
|
92% |
6189
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4021
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6625
114.1 IPS |