motorola moto g45 5G
Geekbench AI Score
199
Single Precision Score
199
Half Precision Score
476
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 30 2025 09:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g45 5G |
| Model ID | motorola moto g45 5G |
| Motherboard | fogos |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 6 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.8 IPS |
|
|
Image Classification (Q)
|
99% |
314
58.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
351
5.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
833
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.25 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.30 IPS |
|
|
Object Detection (Q)
|
87% |
339
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
301
3.57 IPS |
|
|
Face Detection (HP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (Q)
|
97% |
658
7.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
259
2.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
260
2.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
643
5.84 IPS |
|
|
Style Transfer (SP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1276
1.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
444
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.3 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.7 IPS |
|
|
Text Classification (Q)
|
91% |
324
435.5 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
57% |
249
6.09 IPS |
