motorola moto g86 power 5G
Geekbench AI Score
858
Single Precision Score
859
Half Precision Score
1850
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 01:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g86 power 5G |
| Model ID | motorola moto g86 power 5G |
| Motherboard | nice |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
100% |
1323
246.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1548
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1888
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1884
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
3413
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.3 IPS |
|
|
Object Detection (Q)
|
83% |
1276
103.1 IPS |
|
|
Face Detection (SP)
|
100% |
1031
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1031
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
3123
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1414
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1429
11.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3117
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3343
4.34 IPS |
|
|
Style Transfer (HP)
|
89% |
3341
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
7737
9.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1847
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.4 IPS |
|
|
Text Classification (HP)
|
100% |
467
623.2 IPS |
|
|
Text Classification (Q)
|
88% |
860
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
442
15.7 IPS |
