Kingtex Technology TAB012
Geekbench AI Score
145
Single Precision Score
226
Half Precision Score
204
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 13 2026 09:59 AM |
| Views | 4 |
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% |
105
19.5 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
99% |
162
30.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
225
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
528
0.62 IPS |
|
|
Pose Estimation (HP)
|
99% |
860
1.00 IPS |
|
|
Pose Estimation (Q)
|
97% |
861
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.93 IPS |
|
|
Object Detection (HP)
|
99% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
85% |
136
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (HP)
|
100% |
506
6.01 IPS |
|
|
Face Detection (Q)
|
97% |
461
5.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
332
2.56 IPS |
|
|
Depth Estimation (HP)
|
98% |
506
3.91 IPS |
|
|
Depth Estimation (Q)
|
63% |
416
3.84 IPS |
|
|
Style Transfer (SP)
|
100% |
765
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1171
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1148
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
200
7.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
173
6.40 IPS |
|
|
Text Classification (SP)
|
35% |
6
59.7 IPS |
|
|
Text Classification (HP)
|
35% |
10
87.7 IPS |
|
|
Text Classification (Q)
|
35% |
9
82.7 IPS |
|
|
Machine Translation (SP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (HP)
|
97% |
114
1.98 IPS |
|
|
Machine Translation (Q)
|
64% |
88
1.80 IPS |
