incar M10_R03
Geekbench AI Score
152
Single Precision Score
151
Half Precision Score
176
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 06:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | incar M10_R03 |
| Model ID | incar M10_R03 |
| 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% |
79
14.7 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.2 IPS |
|
|
Image Classification (Q)
|
100% |
128
23.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
107
1.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
177
2.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
355
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
254
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.05 IPS |
|
|
Object Detection (HP)
|
100% |
76
6.05 IPS |
|
|
Object Detection (Q)
|
83% |
115
9.25 IPS |
|
|
Face Detection (SP)
|
100% |
179
2.13 IPS |
|
|
Face Detection (HP)
|
100% |
177
2.11 IPS |
|
|
Face Detection (Q)
|
95% |
305
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
246
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
220
1.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
253
2.32 IPS |
|
|
Style Transfer (SP)
|
89% |
587
0.76 IPS |
|
|
Style Transfer (HP)
|
89% |
602
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
604
0.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
143
5.29 IPS |
|
|
Text Classification (SP)
|
100% |
80
106.5 IPS |
|
|
Text Classification (HP)
|
100% |
78
104.3 IPS |
|
|
Text Classification (Q)
|
88% |
106
142.6 IPS |
|
|
Machine Translation (SP)
|
100% |
124
2.14 IPS |
|
|
Machine Translation (HP)
|
100% |
125
2.16 IPS |
|
|
Machine Translation (Q)
|
50% |
64
2.28 IPS |
