ONE-NETBOOK ONEXPLAYER APEX
Geekbench AI Score
6331
Single Precision Score
6230
Half Precision Score
16091
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | Sarg3v3 |
| Upload Date | April 12 2026 08:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ONE-NETBOOK ONEXPLAYER APEX |
| Motherboard | ONE-NETBOOK ONEXPLAYER APEX |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4072
757.2 IPS |
|
|
Image Classification (HP)
|
100% |
4009
745.5 IPS |
|
|
Image Classification (Q)
|
100% |
13028
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4129
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4253
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7914
128.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9038
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9069
10.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
32074
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
3141
249.2 IPS |
|
|
Object Detection (HP)
|
100% |
3555
282.0 IPS |
|
|
Object Detection (Q)
|
88% |
10355
830.1 IPS |
|
|
Face Detection (SP)
|
100% |
9050
107.5 IPS |
|
|
Face Detection (HP)
|
100% |
9621
114.3 IPS |
|
|
Face Detection (Q)
|
100% |
24899
295.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9575
73.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8610
66.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
22709
176.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22427
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24149
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
86917
112.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16941
627.4 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3332
4.45 KIPS |
|
|
Text Classification (Q)
|
92% |
6153
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5747
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4912
84.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6636
114.3 IPS |
