motorola moto e13
Geekbench AI Score
132
Single Precision Score
144
Half Precision Score
151
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 18 2024 09:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto e13 |
| Model ID | motorola moto e13 |
| Motherboard | m170 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 7.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
99% |
108
20.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
146
2.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
433
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
42
3.30 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.32 IPS |
|
|
Object Detection (Q)
|
89% |
80
6.44 IPS |
|
|
Face Detection (SP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.17 IPS |
|
|
Face Detection (Q)
|
97% |
207
2.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
353
2.72 IPS |
|
|
Depth Estimation (HP)
|
100% |
354
2.73 IPS |
|
|
Depth Estimation (Q)
|
82% |
372
2.93 IPS |
|
|
Style Transfer (SP)
|
100% |
362
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
188
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
565
0.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
209
7.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
213
7.88 IPS |
|
|
Text Classification (SP)
|
100% |
21
28.5 IPS |
|
|
Text Classification (HP)
|
100% |
60
79.6 IPS |
|
|
Text Classification (Q)
|
93% |
27
36.8 IPS |
|
|
Machine Translation (SP)
|
100% |
70
1.20 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.79 IPS |
|
|
Machine Translation (Q)
|
55% |
47
1.26 IPS |
