motorola moto g14
Geekbench AI Score
231
Single Precision Score
227
Half Precision Score
313
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 12:19 AM |
| Views | 1 |
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
18.7 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.7 IPS |
|
|
Image Classification (Q)
|
100% |
212
39.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
265
4.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
404
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.59 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.17 IPS |
|
|
Object Detection (Q)
|
83% |
206
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
341
4.05 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.96 IPS |
|
|
Face Detection (Q)
|
95% |
590
7.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
425
3.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
402
3.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
459
4.21 IPS |
|
|
Style Transfer (SP)
|
89% |
793
1.03 IPS |
|
|
Style Transfer (HP)
|
89% |
789
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1043
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.39 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.2 IPS |
|
|
Text Classification (HP)
|
100% |
121
162.1 IPS |
|
|
Text Classification (Q)
|
88% |
195
262.9 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (Q)
|
50% |
143
5.09 IPS |
