motorola moto g - 2025
Geekbench AI Score
235
Single Precision Score
319
Half Precision Score
119
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 27 2025 06:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | motorola moto g - 2025 |
| Model ID | motorola moto g - 2025 |
| Motherboard | kansas |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (Q)
|
97% |
24
4.50 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
24
0.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
933
1.09 IPS |
|
|
Pose Estimation (HP)
|
98% |
2153
2.52 IPS |
|
|
Pose Estimation (Q)
|
70% |
1163
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.19 IPS |
|
|
Object Detection (Q)
|
80% |
31
2.50 IPS |
|
|
Face Detection (SP)
|
28% |
45
8.46 IPS |
|
|
Face Detection (HP)
|
100% |
269
3.20 IPS |
|
|
Face Detection (Q)
|
97% |
36
0.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
386
2.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
224
1.73 IPS |
|
|
Depth Estimation (Q)
|
57% |
120
1.31 IPS |
|
|
Style Transfer (SP)
|
100% |
735
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
359
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1734
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
448
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
93
124.0 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.6 IPS |
|
|
Text Classification (Q)
|
93% |
72
96.8 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
55% |
121
3.20 IPS |
