motorola moto g13
Geekbench AI Score
367
Single Precision Score
371
Half Precision Score
616
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 11:07 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% |
175
32.6 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
100% |
487
90.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
645
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
834
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
815
0.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1479
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
83% |
448
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
447
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
461
5.47 IPS |
|
|
Face Detection (Q)
|
95% |
1050
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
616
4.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
624
4.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1031
9.45 IPS |
|
|
Style Transfer (SP)
|
89% |
1662
2.16 IPS |
|
|
Style Transfer (HP)
|
89% |
1617
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
3143
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
558
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
191
255.3 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.6 IPS |
|
|
Text Classification (Q)
|
88% |
187
252.8 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
50% |
108
3.83 IPS |
