motorola moto g14
Geekbench AI Score
226
Single Precision Score
224
Half Precision Score
314
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 09 2025 03:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g14 |
| Model ID | motorola moto g14 |
| Motherboard | cancun |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 6 Cores @ 1.82 GHz |
| Cluster 2 | 2 Cores @ 1.95 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
100% |
213
39.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
266
4.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
405
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.40 IPS |
|
|
Object Detection (HP)
|
100% |
93
7.40 IPS |
|
|
Object Detection (Q)
|
83% |
206
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (HP)
|
100% |
332
3.94 IPS |
|
|
Face Detection (Q)
|
95% |
589
7.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
391
3.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
395
3.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
459
4.21 IPS |
|
|
Style Transfer (SP)
|
89% |
782
1.02 IPS |
|
|
Style Transfer (HP)
|
89% |
776
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
1043
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
234
8.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.37 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.9 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.3 IPS |
|
|
Text Classification (Q)
|
88% |
195
263.3 IPS |
|
|
Machine Translation (SP)
|
100% |
205
3.54 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
50% |
144
5.13 IPS |
