motorola moto g14
Geekbench AI Score
141
Single Precision Score
275
Half Precision Score
220
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 06:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
85
15.7 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
97% |
166
30.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
233
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
450
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
864
1.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
861
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.14 IPS |
|
|
Object Detection (HP)
|
99% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
83% |
156
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.47 IPS |
|
|
Face Detection (Q)
|
96% |
558
6.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
332
2.56 IPS |
|
|
Depth Estimation (HP)
|
98% |
672
5.19 IPS |
|
|
Depth Estimation (Q)
|
62% |
530
5.04 IPS |
|
|
Style Transfer (SP)
|
100% |
784
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
1627
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
1615
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
378
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
372
13.8 IPS |
|
|
Text Classification (SP)
|
35% |
5
43.1 IPS |
|
|
Text Classification (HP)
|
35% |
8
82.6 IPS |
|
|
Text Classification (Q)
|
31% |
6
81.3 IPS |
|
|
Machine Translation (SP)
|
100% |
137
2.35 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
43% |
48
2.80 IPS |
