ONE-NETBOOK ONEXPLAYER SUPER X
Geekbench AI Score
5620
Single Precision Score
5553
Half Precision Score
14678
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | March 17 2026 02:30 PM |
| Views | 10 |
System Information
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3681
684.5 IPS |
|
|
Image Classification (HP)
|
100% |
3711
690.2 IPS |
|
|
Image Classification (Q)
|
100% |
12216
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4402
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6314
102.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8645
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8780
10.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
31938
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
3089
245.0 IPS |
|
|
Object Detection (HP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (Q)
|
88% |
9475
759.5 IPS |
|
|
Face Detection (SP)
|
100% |
7231
85.9 IPS |
|
|
Face Detection (HP)
|
100% |
8227
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
23103
274.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6889
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7755
59.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
23292
181.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21698
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21944
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77533
100.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5020
185.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4629
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12961
480.0 IPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (Q)
|
92% |
5601
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4228
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4033
69.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6567
113.1 IPS |
