motorola moto g13
Geekbench AI Score
372
Single Precision Score
362
Half Precision Score
624
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 01:33 AM |
| Views | 1 |
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% |
188
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.7 IPS |
|
|
Image Classification (Q)
|
100% |
517
96.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
853
1.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
1528
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
83% |
449
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
464
5.51 IPS |
|
|
Face Detection (HP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (Q)
|
95% |
1088
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
611
4.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
538
4.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
1157
10.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1578
2.05 IPS |
|
|
Style Transfer (HP)
|
89% |
1603
2.08 IPS |
|
|
Style Transfer (Q)
|
98% |
2996
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
561
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.8 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.8 IPS |
|
|
Text Classification (Q)
|
88% |
177
238.2 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
50% |
105
3.72 IPS |
