incar K12
Geekbench AI Score
166
Single Precision Score
167
Half Precision Score
198
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 12:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | incar K12 |
| Model ID | incar K12 |
| Motherboard | rk30sdk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
83
15.5 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.5 IPS |
|
|
Image Classification (Q)
|
100% |
135
25.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
110
1.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
186
3.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
394
0.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
287
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.51 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.60 IPS |
|
|
Object Detection (Q)
|
83% |
131
10.6 IPS |
|
|
Face Detection (SP)
|
100% |
199
2.37 IPS |
|
|
Face Detection (HP)
|
100% |
198
2.35 IPS |
|
|
Face Detection (Q)
|
95% |
345
4.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
245
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
249
1.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
289
2.65 IPS |
|
|
Style Transfer (SP)
|
89% |
661
0.86 IPS |
|
|
Style Transfer (HP)
|
89% |
658
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
662
0.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
138
5.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
166
6.15 IPS |
|
|
Text Classification (SP)
|
100% |
92
122.4 IPS |
|
|
Text Classification (HP)
|
100% |
92
122.3 IPS |
|
|
Text Classification (Q)
|
88% |
123
165.4 IPS |
|
|
Machine Translation (SP)
|
100% |
139
2.39 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (Q)
|
50% |
73
2.60 IPS |
