CUBOT KINGKONG ES 3
Geekbench AI Score
153
Single Precision Score
178
Half Precision Score
200
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 07:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | CUBOT KINGKONG ES 3 |
| Model ID | CUBOT KINGKONG ES 3 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 6 Cores @ 1.61 GHz |
| Cluster 2 | 2 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
85
15.9 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (Q)
|
97% |
137
25.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
567
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
553
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
73
5.76 IPS |
|
|
Object Detection (HP)
|
99% |
148
11.8 IPS |
|
|
Object Detection (Q)
|
86% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
301
3.58 IPS |
|
|
Face Detection (HP)
|
100% |
413
4.91 IPS |
|
|
Face Detection (Q)
|
97% |
298
3.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
401
3.09 IPS |
|
|
Depth Estimation (HP)
|
98% |
372
2.87 IPS |
|
|
Depth Estimation (Q)
|
65% |
449
4.01 IPS |
|
|
Style Transfer (SP)
|
100% |
398
0.51 IPS |
|
|
Style Transfer (HP)
|
100% |
186
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
672
0.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
267
9.89 IPS |
|
|
Text Classification (SP)
|
100% |
20
26.9 IPS |
|
|
Text Classification (HP)
|
100% |
61
81.7 IPS |
|
|
Text Classification (Q)
|
93% |
36
47.7 IPS |
|
|
Machine Translation (SP)
|
100% |
74
1.28 IPS |
|
|
Machine Translation (HP)
|
100% |
106
1.82 IPS |
|
|
Machine Translation (Q)
|
55% |
58
1.54 IPS |
