motorola moto g86 power 5G
Geekbench AI Score
863
Single Precision Score
866
Half Precision Score
1854
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 12 2025 08:56 AM |
| Views | 3 |
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% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.6 IPS |
|
|
Image Classification (Q)
|
100% |
1332
247.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1557
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1897
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
3408
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
1273
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
3147
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1457
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1488
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3111
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3361
4.36 IPS |
|
|
Style Transfer (HP)
|
89% |
3367
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
7745
9.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
819
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1840
68.2 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.6 IPS |
|
|
Text Classification (HP)
|
100% |
470
626.7 IPS |
|
|
Text Classification (Q)
|
88% |
862
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.7 IPS |
