motorola moto g13
Geekbench AI Score
363
Single Precision Score
358
Half Precision Score
618
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 01:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g13 |
| Model ID | motorola moto g13 |
| Motherboard | penangf |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (Q)
|
100% |
504
93.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
646
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
833
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
1507
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
83% |
425
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
444
5.28 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
95% |
975
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
602
4.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
486
3.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
1123
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1643
2.13 IPS |
|
|
Style Transfer (HP)
|
89% |
1707
2.22 IPS |
|
|
Style Transfer (Q)
|
98% |
2870
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
657
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.9 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.1 IPS |
|
|
Text Classification (Q)
|
88% |
181
244.4 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
50% |
105
3.74 IPS |
