motorola moto g34 5G
Geekbench AI Score
350
Single Precision Score
548
Half Precision Score
506
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 10:56 AM |
| Views | 2 |
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 | 3.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (Q)
|
99% |
335
62.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
548
8.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
524
8.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1424
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
2300
2.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
2276
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
99% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
85% |
286
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
710
8.43 IPS |
|
|
Face Detection (HP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
983
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
849
6.54 IPS |
|
|
Depth Estimation (HP)
|
98% |
1374
10.6 IPS |
|
|
Depth Estimation (Q)
|
65% |
1171
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1847
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
3467
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3315
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
329
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
478
17.7 IPS |
|
|
Text Classification (SP)
|
35% |
14
133.7 IPS |
|
|
Text Classification (HP)
|
35% |
24
214.0 IPS |
|
|
Text Classification (Q)
|
35% |
23
210.6 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (HP)
|
97% |
301
5.20 IPS |
|
|
Machine Translation (Q)
|
64% |
232
4.77 IPS |
