motorola moto g13
Geekbench AI Score
366
Single Precision Score
368
Half Precision Score
608
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 06:12 AM |
| 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% |
177
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.2 IPS |
|
|
Image Classification (Q)
|
100% |
518
96.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
1496
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
83% |
451
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
457
5.42 IPS |
|
|
Face Detection (HP)
|
100% |
462
5.49 IPS |
|
|
Face Detection (Q)
|
95% |
1075
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
607
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
604
4.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
1053
9.65 IPS |
|
|
Style Transfer (SP)
|
89% |
1617
2.10 IPS |
|
|
Style Transfer (HP)
|
89% |
1701
2.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2853
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
605
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.4 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.4 IPS |
|
|
Text Classification (Q)
|
88% |
168
226.4 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.99 IPS |
|
|
Machine Translation (Q)
|
50% |
109
3.87 IPS |
