N-one "NPad Ultra" Kingtex Technology TAB012
Geekbench AI Score
148
Single Precision Score
235
Half Precision Score
209
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 04 2026 04:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
108
20.1 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
99% |
165
30.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
231
3.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
99% |
889
1.04 IPS |
|
|
Pose Estimation (Q)
|
97% |
868
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.11 IPS |
|
|
Object Detection (HP)
|
99% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
85% |
138
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (HP)
|
100% |
520
6.18 IPS |
|
|
Face Detection (Q)
|
97% |
476
5.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
332
2.56 IPS |
|
|
Depth Estimation (HP)
|
98% |
510
3.94 IPS |
|
|
Depth Estimation (Q)
|
63% |
418
3.86 IPS |
|
|
Style Transfer (SP)
|
100% |
768
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1211
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1164
1.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
180
6.66 IPS |
|
|
Text Classification (SP)
|
35% |
6
59.0 IPS |
|
|
Text Classification (HP)
|
35% |
12
105.6 IPS |
|
|
Text Classification (Q)
|
35% |
10
89.7 IPS |
|
|
Machine Translation (SP)
|
100% |
92
1.59 IPS |
|
|
Machine Translation (HP)
|
97% |
124
2.14 IPS |
|
|
Machine Translation (Q)
|
64% |
85
1.76 IPS |
