ONE-NETBOOK ONEXPLAYER APEX
Geekbench AI Score
20364
Single Precision Score
28227
Half Precision Score
17482
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | Sarg3v3 |
| Upload Date | April 12 2026 08:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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% |
9795
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
9912
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
9134
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11367
184.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15534
251.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16197
263.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
111503
130.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
254597
297.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
94195
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
6502
515.8 IPS |
|
|
Object Detection (HP)
|
100% |
9707
770.0 IPS |
|
|
Object Detection (Q)
|
87% |
6354
510.3 IPS |
|
|
Face Detection (SP)
|
100% |
27241
323.7 IPS |
|
|
Face Detection (HP)
|
100% |
37416
444.6 IPS |
|
|
Face Detection (Q)
|
97% |
23099
275.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
45624
351.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56511
435.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
38504
308.8 IPS |
|
|
Style Transfer (SP)
|
100% |
201184
258.6 IPS |
|
|
Style Transfer (HP)
|
100% |
351927
452.4 IPS |
|
|
Style Transfer (Q)
|
98% |
169673
218.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30527
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43571
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25131
930.6 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2500
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5989
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6489
111.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3177
59.6 IPS |
