incar M10_R02
Geekbench AI Score
127
Single Precision Score
125
Half Precision Score
154
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 12 2024 03:02 AM |
| Views | 56 |
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% |
62
11.5 IPS |
|
|
Image Classification (HP)
|
100% |
59
10.9 IPS |
|
|
Image Classification (Q)
|
100% |
105
19.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
84
1.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
86
1.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
148
2.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
312
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
233
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
63
5.04 IPS |
|
|
Object Detection (HP)
|
100% |
66
5.25 IPS |
|
|
Object Detection (Q)
|
83% |
106
8.55 IPS |
|
|
Face Detection (SP)
|
100% |
157
1.86 IPS |
|
|
Face Detection (HP)
|
100% |
149
1.77 IPS |
|
|
Face Detection (Q)
|
95% |
263
3.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
214
1.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
195
1.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
226
2.07 IPS |
|
|
Style Transfer (SP)
|
89% |
543
0.70 IPS |
|
|
Style Transfer (HP)
|
89% |
539
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
559
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
97
3.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
98
3.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
139
5.15 IPS |
|
|
Text Classification (SP)
|
100% |
63
83.5 IPS |
|
|
Text Classification (HP)
|
100% |
65
86.8 IPS |
|
|
Text Classification (Q)
|
88% |
85
115.2 IPS |
|
|
Machine Translation (SP)
|
100% |
101
1.74 IPS |
|
|
Machine Translation (HP)
|
100% |
99
1.70 IPS |
|
|
Machine Translation (Q)
|
50% |
53
1.88 IPS |
