N-one "NPad Ultra" Kingtex Technology TAB012
Geekbench AI Score
228
Single Precision Score
223
Half Precision Score
226
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 03 2026 10:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Kingtex Technology TAB012 |
| Model ID | Kingtex Technology TAB012 |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
100% |
153
28.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
182
2.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
543
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
321
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.48 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (Q)
|
83% |
151
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
278
3.31 IPS |
|
|
Face Detection (HP)
|
100% |
269
3.20 IPS |
|
|
Face Detection (Q)
|
95% |
346
4.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
362
2.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
336
3.08 IPS |
|
|
Style Transfer (SP)
|
89% |
853
1.11 IPS |
|
|
Style Transfer (HP)
|
89% |
839
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
910
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
211
7.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
199
7.38 IPS |
|
|
Text Classification (SP)
|
100% |
127
169.7 IPS |
|
|
Text Classification (HP)
|
100% |
124
166.1 IPS |
|
|
Text Classification (Q)
|
88% |
139
187.7 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (HP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (Q)
|
50% |
90
3.19 IPS |
