motorola moto g34 5G
Geekbench AI Score
556
Single Precision Score
555
Half Precision Score
1049
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 04:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (Q)
|
100% |
718
133.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1208
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
1739
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
709
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
95% |
1718
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1043
8.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1042
8.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1614
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2043
2.65 IPS |
|
|
Style Transfer (HP)
|
89% |
2045
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
4043
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
540
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.5 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.7 IPS |
|
|
Text Classification (Q)
|
88% |
547
737.6 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
