incar M10_R04
Geekbench AI Score
130
Single Precision Score
132
Half Precision Score
150
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 11:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | incar M10_R04 |
| Model ID | incar M10_R04 |
| 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% |
65
12.0 IPS |
|
|
Image Classification (HP)
|
100% |
69
12.7 IPS |
|
|
Image Classification (Q)
|
100% |
108
20.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
90
1.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
92
1.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
154
2.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
302
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
301
0.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
213
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
63
4.99 IPS |
|
|
Object Detection (HP)
|
100% |
64
5.11 IPS |
|
|
Object Detection (Q)
|
83% |
98
7.88 IPS |
|
|
Face Detection (SP)
|
100% |
162
1.92 IPS |
|
|
Face Detection (HP)
|
100% |
163
1.94 IPS |
|
|
Face Detection (Q)
|
95% |
266
3.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
208
1.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
195
1.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
208
1.90 IPS |
|
|
Style Transfer (SP)
|
89% |
511
0.66 IPS |
|
|
Style Transfer (HP)
|
89% |
529
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
524
0.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
106
3.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.59 IPS |
|
|
Text Classification (SP)
|
100% |
65
87.4 IPS |
|
|
Text Classification (HP)
|
100% |
65
87.4 IPS |
|
|
Text Classification (Q)
|
88% |
86
115.9 IPS |
|
|
Machine Translation (SP)
|
100% |
105
1.80 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.89 IPS |
|
|
Machine Translation (Q)
|
50% |
56
2.00 IPS |
