motorola moto g96 5G
Geekbench AI Score
926
Single Precision Score
927
Half Precision Score
2026
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 01:26 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% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.1 IPS |
|
|
Image Classification (Q)
|
100% |
1447
269.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1678
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2039
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3775
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
83% |
1390
112.3 IPS |
|
|
Face Detection (SP)
|
100% |
1121
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
3403
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1542
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1569
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3428
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3693
4.79 IPS |
|
|
Style Transfer (HP)
|
89% |
3687
4.79 IPS |
|
|
Style Transfer (Q)
|
98% |
8616
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2056
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.7 IPS |
|
|
Text Classification (HP)
|
100% |
500
666.9 IPS |
|
|
Text Classification (Q)
|
88% |
938
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
473
16.8 IPS |
