motorola moto g34 5G
Geekbench AI Score
349
Single Precision Score
544
Half Precision Score
509
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 06:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.1 IPS |
|
|
Image Classification (Q)
|
99% |
333
62.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
506
8.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
1414
1.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
2300
2.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
2270
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
99% |
302
24.0 IPS |
|
|
Object Detection (Q)
|
85% |
288
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
709
8.43 IPS |
|
|
Face Detection (HP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
1017
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
844
6.50 IPS |
|
|
Depth Estimation (HP)
|
98% |
1373
10.6 IPS |
|
|
Depth Estimation (Q)
|
65% |
1146
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1842
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
3476
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3344
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
35% |
14
132.0 IPS |
|
|
Text Classification (HP)
|
35% |
23
206.3 IPS |
|
|
Text Classification (Q)
|
35% |
23
204.8 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.02 IPS |
|
|
Machine Translation (HP)
|
97% |
298
5.15 IPS |
|
|
Machine Translation (Q)
|
64% |
244
5.01 IPS |
