motorola moto g96 5G
Geekbench AI Score
878
Single Precision Score
866
Half Precision Score
1887
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 06:23 PM |
| 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% |
428
79.5 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (Q)
|
100% |
1437
267.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1674
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2003
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2009
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3774
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
83% |
1288
104.0 IPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3164
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1517
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1484
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3156
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3418
4.44 IPS |
|
|
Style Transfer (HP)
|
89% |
3259
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
7543
9.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1803
66.8 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.4 IPS |
|
|
Text Classification (HP)
|
100% |
436
581.8 IPS |
|
|
Text Classification (Q)
|
88% |
835
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
432
15.3 IPS |
