ONE-NETBOOK ONEXPLAYER APEX
Geekbench AI Score
5149
Single Precision Score
1965
Half Precision Score
9370
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | Sarg3v3 |
| Upload Date | April 12 2026 08:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
4405
819.2 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.1 IPS |
|
|
Image Classification (Q)
|
99% |
9089
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12771
207.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12188
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9304
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
40700
47.7 IPS |
|
|
Object Detection (SP)
|
100% |
4110
326.0 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (Q)
|
86% |
10853
872.2 IPS |
|
|
Face Detection (SP)
|
100% |
9963
118.4 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
11745
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13518
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2588
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9619
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25222
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21433
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46282
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3103
114.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2697
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3914
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1448
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2545
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3434
69.0 IPS |
