motorola moto g75 5G
Geekbench AI Score
211
Single Precision Score
212
Half Precision Score
512
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | March 23 2025 08:52 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g75 5G |
| Model ID | motorola moto g75 5G |
| Motherboard | paros |
| 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 | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
123
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (Q)
|
99% |
338
63.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
378
6.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
878
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.83 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.87 IPS |
|
|
Object Detection (Q)
|
87% |
361
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
315
3.75 IPS |
|
|
Face Detection (HP)
|
100% |
317
3.77 IPS |
|
|
Face Detection (Q)
|
97% |
730
8.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
277
2.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
701
6.36 IPS |
|
|
Style Transfer (SP)
|
100% |
478
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
476
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1385
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
137
5.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
179
239.1 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.6 IPS |
|
|
Text Classification (Q)
|
91% |
343
460.9 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (Q)
|
57% |
258
6.31 IPS |
