motorola moto g66j 5G
Geekbench AI Score
527
Single Precision Score
526
Half Precision Score
1004
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 04:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g66j 5G |
| Model ID | motorola moto g66j 5G |
| Motherboard | bogota |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
220
41.0 IPS |
|
|
Image Classification (Q)
|
100% |
663
123.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
1692
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
660
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
778
9.24 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (Q)
|
95% |
1604
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1019
7.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
1018
7.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1565
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1950
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1951
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3999
5.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
546
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
945
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.4 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.3 IPS |
|
|
Text Classification (Q)
|
88% |
546
735.8 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
50% |
355
12.6 IPS |
