motorola moto g67 power 5G
Geekbench AI Score
425
Single Precision Score
720
Half Precision Score
562
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 12:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g67 power 5G |
| Model ID | motorola moto g67 power 5G |
| Motherboard | portov |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
100% |
515
95.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1739
2.03 IPS |
|
|
Pose Estimation (HP)
|
99% |
3318
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
3286
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
99% |
386
30.6 IPS |
|
|
Object Detection (Q)
|
87% |
377
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
1517
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
1315
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.71 IPS |
|
|
Depth Estimation (HP)
|
98% |
1937
15.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1441
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1905
2.45 IPS |
|
|
Style Transfer (HP)
|
100% |
4010
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3969
5.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
720
26.7 IPS |
|
|
Text Classification (SP)
|
35% |
16
157.8 IPS |
|
|
Text Classification (HP)
|
35% |
26
236.4 IPS |
|
|
Text Classification (Q)
|
33% |
20
236.1 IPS |
|
|
Machine Translation (SP)
|
100% |
208
3.59 IPS |
|
|
Machine Translation (HP)
|
97% |
243
4.20 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.72 IPS |
