motorola moto g35 5G
Geekbench AI Score
691
Single Precision Score
677
Half Precision Score
1468
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 01:29 PM |
| 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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (Q)
|
100% |
1193
221.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1345
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1536
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1548
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
3284
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (Q)
|
83% |
1130
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
804
9.56 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (Q)
|
95% |
2625
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1204
9.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
1155
8.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
2704
24.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2680
3.48 IPS |
|
|
Style Transfer (HP)
|
89% |
2337
3.03 IPS |
|
|
Style Transfer (Q)
|
98% |
5801
7.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1223
45.3 IPS |
|
|
Text Classification (SP)
|
100% |
326
434.9 IPS |
|
|
Text Classification (HP)
|
100% |
323
430.8 IPS |
|
|
Text Classification (Q)
|
88% |
523
704.7 IPS |
|
|
Machine Translation (SP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (Q)
|
50% |
298
10.6 IPS |
