motorola moto g34 5G
Geekbench AI Score
350
Single Precision Score
539
Half Precision Score
501
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 12:41 AM |
| Views | 4 |
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% |
226
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.2 IPS |
|
|
Image Classification (Q)
|
99% |
322
60.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
513
8.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1426
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
2262
2.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
2248
2.63 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
99% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
85% |
273
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (HP)
|
100% |
1056
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
1008
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.55 IPS |
|
|
Depth Estimation (HP)
|
98% |
1380
10.7 IPS |
|
|
Depth Estimation (Q)
|
65% |
1157
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1838
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3383
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
3343
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
475
17.6 IPS |
|
|
Text Classification (SP)
|
35% |
14
133.8 IPS |
|
|
Text Classification (HP)
|
35% |
23
206.7 IPS |
|
|
Text Classification (Q)
|
35% |
23
204.8 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (HP)
|
97% |
296
5.11 IPS |
|
|
Machine Translation (Q)
|
64% |
234
4.80 IPS |
