motorola moto g34 5G
Geekbench AI Score
544
Single Precision Score
544
Half Precision Score
1047
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 06:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g34 5G |
| Model ID | motorola moto g34 5G |
| Motherboard | fogos |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
100% |
710
132.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1176
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1183
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1734
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (Q)
|
83% |
708
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
757
9.00 IPS |
|
|
Face Detection (HP)
|
100% |
754
8.96 IPS |
|
|
Face Detection (Q)
|
95% |
1704
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
1012
7.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1608
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2017
2.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2008
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4126
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1000
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.6 IPS |
|
|
Text Classification (HP)
|
100% |
286
382.2 IPS |
|
|
Text Classification (Q)
|
88% |
555
748.4 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
50% |
351
12.5 IPS |
