motorola moto g35 5G
Geekbench AI Score
706
Single Precision Score
696
Half Precision Score
1438
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 09:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g35 5G |
| Model ID | motorola moto g35 5G |
| Motherboard | manila |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (Q)
|
100% |
1087
202.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1266
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1547
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1485
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
3004
3.56 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
83% |
1059
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
874
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (Q)
|
95% |
2487
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1221
9.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
1113
8.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
2294
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2502
3.25 IPS |
|
|
Style Transfer (HP)
|
89% |
2494
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
5621
7.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1390
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.1 IPS |
|
|
Text Classification (HP)
|
100% |
358
478.4 IPS |
|
|
Text Classification (Q)
|
88% |
607
819.1 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.4 IPS |
