motorola moto g86 power 5G
Geekbench AI Score
764
Single Precision Score
767
Half Precision Score
1796
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2025 04:32 PM |
| Views | 6 |
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 @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
100% |
1304
242.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
470
7.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1483
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1613
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1612
1.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
3405
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
83% |
1236
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (Q)
|
95% |
2947
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1221
9.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
1254
9.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
3050
27.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2985
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2930
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
7603
9.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1811
67.1 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.1 IPS |
|
|
Text Classification (HP)
|
100% |
439
585.8 IPS |
|
|
Text Classification (Q)
|
88% |
857
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
406
14.4 IPS |
