motorola moto g15
Geekbench AI Score
217
Single Precision Score
220
Half Precision Score
311
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 08:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g15 |
| Model ID | motorola moto g15 |
| Motherboard | lamu |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores @ 1.70 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.1 IPS |
|
|
Image Classification (Q)
|
100% |
210
39.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
263
4.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
467
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
416
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.58 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.57 IPS |
|
|
Object Detection (Q)
|
83% |
203
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
95% |
575
6.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
358
2.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
462
4.23 IPS |
|
|
Style Transfer (SP)
|
89% |
837
1.09 IPS |
|
|
Style Transfer (HP)
|
89% |
830
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
1063
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.44 IPS |
|
|
Text Classification (SP)
|
100% |
113
151.4 IPS |
|
|
Text Classification (HP)
|
100% |
111
148.2 IPS |
|
|
Text Classification (Q)
|
88% |
183
247.5 IPS |
|
|
Machine Translation (SP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.59 IPS |
|
|
Machine Translation (Q)
|
50% |
140
4.97 IPS |