motorola moto g86 power 5G
Geekbench AI Score
848
Single Precision Score
849
Half Precision Score
1827
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 18 2025 01:01 AM |
| Views | 16 |
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 | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
100% |
1305
242.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1527
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1896
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
3386
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
83% |
1258
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
3107
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1338
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3013
27.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3283
4.26 IPS |
|
|
Style Transfer (HP)
|
89% |
3287
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
7713
9.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1834
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.0 IPS |
|
|
Text Classification (HP)
|
100% |
466
621.5 IPS |
|
|
Text Classification (Q)
|
88% |
845
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
