motorola moto g96 5G
Geekbench AI Score
879
Single Precision Score
874
Half Precision Score
1806
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 01:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g96 5G |
| Model ID | motorola moto g96 5G |
| Motherboard | cuscoi |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
100% |
1439
267.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
523
8.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1665
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1963
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
3471
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
83% |
1036
83.7 IPS |
|
|
Face Detection (SP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2991
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1507
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1502
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2951
27.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3375
4.38 IPS |
|
|
Style Transfer (HP)
|
89% |
3380
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
7545
9.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1781
66.0 IPS |
|
|
Text Classification (SP)
|
100% |
433
577.3 IPS |
|
|
Text Classification (HP)
|
100% |
433
577.6 IPS |
|
|
Text Classification (Q)
|
88% |
833
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
435
15.4 IPS |
