motorola moto g13
Geekbench AI Score
365
Single Precision Score
364
Half Precision Score
615
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 11:01 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% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (Q)
|
100% |
536
99.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
817
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
843
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
1508
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
379
30.6 IPS |
|
|
Face Detection (SP)
|
100% |
444
5.28 IPS |
|
|
Face Detection (HP)
|
100% |
450
5.35 IPS |
|
|
Face Detection (Q)
|
95% |
967
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
581
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
590
4.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
1047
9.59 IPS |
|
|
Style Transfer (SP)
|
89% |
1715
2.23 IPS |
|
|
Style Transfer (HP)
|
89% |
1663
2.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2817
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
704
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
184
245.7 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.1 IPS |
|
|
Text Classification (Q)
|
88% |
186
250.4 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.80 IPS |
|
|
Machine Translation (Q)
|
50% |
106
3.76 IPS |
