motorola moto g power 5G - 2024
Geekbench AI Score
523
Single Precision Score
525
Half Precision Score
1029
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 29 2024 10:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g power 5G - 2024 |
| Model ID | motorola moto g power 5G - 2024 |
| Motherboard | cancunn |
| 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 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
223
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
100% |
675
125.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
774
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1118
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1674
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (Q)
|
87% |
681
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.20 IPS |
|
|
Face Detection (Q)
|
95% |
1630
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
951
7.33 IPS |
|
|
Depth Estimation (HP)
|
100% |
1010
7.78 IPS |
|
|
Depth Estimation (Q)
|
75% |
1770
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1932
2.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1937
2.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3975
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
938
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.6 IPS |
|
|
Text Classification (HP)
|
100% |
267
357.0 IPS |
|
|
Text Classification (Q)
|
88% |
566
762.9 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (Q)
|
50% |
368
13.1 IPS |
