incar M10_R02
Geekbench AI Score
126
Single Precision Score
123
Half Precision Score
149
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 11:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | incar M10_R02 |
| Model ID | incar M10_R02 |
| 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% |
61
11.3 IPS |
|
|
Image Classification (HP)
|
100% |
59
10.9 IPS |
|
|
Image Classification (Q)
|
100% |
96
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
86
1.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
143
2.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
300
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
232
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
64
5.11 IPS |
|
|
Object Detection (HP)
|
100% |
63
5.00 IPS |
|
|
Object Detection (Q)
|
83% |
99
8.03 IPS |
|
|
Face Detection (SP)
|
100% |
153
1.82 IPS |
|
|
Face Detection (HP)
|
100% |
149
1.77 IPS |
|
|
Face Detection (Q)
|
95% |
258
3.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
197
1.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
221
2.03 IPS |
|
|
Style Transfer (SP)
|
89% |
528
0.69 IPS |
|
|
Style Transfer (HP)
|
89% |
529
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
569
0.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
98
3.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
99
3.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
134
4.95 IPS |
|
|
Text Classification (SP)
|
100% |
65
86.9 IPS |
|
|
Text Classification (HP)
|
100% |
59
78.9 IPS |
|
|
Text Classification (Q)
|
88% |
76
102.7 IPS |
|
|
Machine Translation (SP)
|
100% |
99
1.70 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.80 IPS |
|
|
Machine Translation (Q)
|
50% |
52
1.85 IPS |
