incar K12E
Geekbench AI Score
169
Single Precision Score
167
Half Precision Score
187
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 06:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | incar K12E |
| Model ID | incar K12E |
| 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 | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
85
15.9 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.2 IPS |
|
|
Image Classification (Q)
|
100% |
132
24.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
185
3.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
392
0.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
267
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.68 IPS |
|
|
Object Detection (HP)
|
100% |
85
6.73 IPS |
|
|
Object Detection (Q)
|
83% |
125
10.1 IPS |
|
|
Face Detection (SP)
|
100% |
205
2.44 IPS |
|
|
Face Detection (HP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (Q)
|
95% |
328
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
278
2.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
255
1.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
260
2.39 IPS |
|
|
Style Transfer (SP)
|
89% |
633
0.82 IPS |
|
|
Style Transfer (HP)
|
89% |
636
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
635
0.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
143
5.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.22 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
149
5.52 IPS |
|
|
Text Classification (SP)
|
100% |
88
118.0 IPS |
|
|
Text Classification (HP)
|
100% |
84
111.7 IPS |
|
|
Text Classification (Q)
|
88% |
112
151.7 IPS |
|
|
Machine Translation (SP)
|
100% |
136
2.34 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (Q)
|
50% |
72
2.55 IPS |
