motorola moto g06
Geekbench AI Score
218
Single Precision Score
218
Half Precision Score
307
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 10:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g06 |
| Model ID | motorola moto g06 |
| Motherboard | lagos |
| 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 | 3.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (HP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (Q)
|
100% |
203
37.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
118
1.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
260
4.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
415
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.51 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.63 IPS |
|
|
Object Detection (Q)
|
83% |
200
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (Q)
|
95% |
566
6.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
400
3.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
455
4.17 IPS |
|
|
Style Transfer (SP)
|
89% |
844
1.10 IPS |
|
|
Style Transfer (HP)
|
89% |
845
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
1060
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
200
7.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
252
9.34 IPS |
|
|
Text Classification (SP)
|
100% |
110
146.8 IPS |
|
|
Text Classification (HP)
|
100% |
109
146.0 IPS |
|
|
Text Classification (Q)
|
88% |
178
240.4 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
50% |
140
4.96 IPS |
