CUBOT TAB KINGKONG 2
Geekbench AI Score
519
Single Precision Score
512
Half Precision Score
943
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 02:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | CUBOT TAB KINGKONG 2 |
| Model ID | CUBOT TAB KINGKONG 2 |
| Motherboard | t33tmc_v1_ga_cq_p071_dz_u |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1613
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
83% |
635
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
95% |
1475
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
968
7.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
878
6.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1481
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1839
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1844
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3702
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
891
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.3 IPS |
|
|
Text Classification (HP)
|
100% |
274
366.3 IPS |
|
|
Text Classification (Q)
|
88% |
479
646.5 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
