N-one Npadplus
Geekbench AI Score
301
Single Precision Score
298
Half Precision Score
329
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 21 2026 10:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8183 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | N-one Npadplus |
| Model ID | N-one Npadplus |
| Motherboard | tb8788p1_64_wifi_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT8183 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 8 Cores @ 1.99 GHz |
| Memory Information | |
|---|---|
| Size | 7.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (HP)
|
100% |
156
28.9 IPS |
|
|
Image Classification (Q)
|
100% |
244
45.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
317
5.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
567
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
83% |
207
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
383
4.56 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
95% |
523
6.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
470
3.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
560
5.13 IPS |
|
|
Style Transfer (SP)
|
89% |
1205
1.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1205
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1397
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
286
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
148
196.9 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.5 IPS |
|
|
Text Classification (Q)
|
88% |
161
216.5 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (HP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (Q)
|
50% |
88
3.11 IPS |
