motorola moto g13
Geekbench AI Score
363
Single Precision Score
367
Half Precision Score
610
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 03:02 AM |
| Views | 4 |
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% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.1 IPS |
|
|
Image Classification (Q)
|
100% |
503
93.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
602
9.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
847
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
1235
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (Q)
|
83% |
383
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
460
5.46 IPS |
|
|
Face Detection (HP)
|
100% |
459
5.46 IPS |
|
|
Face Detection (Q)
|
95% |
1150
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
541
4.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
612
4.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1247
11.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1619
2.10 IPS |
|
|
Style Transfer (HP)
|
89% |
1675
2.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2890
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.9 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.2 IPS |
|
|
Text Classification (Q)
|
88% |
188
253.3 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
50% |
107
3.80 IPS |
