motorola moto g66j 5G
Geekbench AI Score
261
Single Precision Score
309
Half Precision Score
131
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 10:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
193
36.0 IPS |
|
|
Image Classification (HP)
|
97% |
384
71.6 IPS |
|
|
Image Classification (Q)
|
97% |
26
4.84 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
30
0.48 IPS |
|
|
Pose Estimation (SP)
|
99% |
1056
1.24 IPS |
|
|
Pose Estimation (HP)
|
98% |
2356
2.76 IPS |
|
|
Pose Estimation (Q)
|
70% |
1149
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
99% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
80% |
33
2.71 IPS |
|
|
Face Detection (SP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
43
0.51 IPS |
|
|
Depth Estimation (SP)
|
84% |
694
5.43 IPS |
|
|
Depth Estimation (HP)
|
84% |
1681
13.2 IPS |
|
|
Depth Estimation (Q)
|
57% |
138
1.51 IPS |
|
|
Style Transfer (SP)
|
100% |
927
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
409
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1845
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
98% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
97% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
29% |
5
80.1 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.2 IPS |
|
|
Text Classification (Q)
|
93% |
75
100.9 IPS |
|
|
Machine Translation (SP)
|
100% |
167
2.87 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
55% |
136
3.60 IPS |
