motorola moto g - 2025
Geekbench AI Score
508
Single Precision Score
520
Half Precision Score
971
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 08:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g - 2025 |
| Model ID | motorola moto g - 2025 |
| Motherboard | kansas |
| 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 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
100% |
674
125.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
746
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1095
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1107
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1690
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
83% |
652
52.7 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
95% |
1541
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
946
7.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
950
7.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
1562
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1909
2.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1909
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3878
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
931
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.1 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.3 IPS |
|
|
Text Classification (Q)
|
88% |
479
645.5 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
