motorola moto g31(w)
Geekbench AI Score
308
Single Precision Score
289
Half Precision Score
482
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 06:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g31(w) |
| Model ID | motorola moto g31(w) |
| Motherboard | cofud |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
135
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (Q)
|
100% |
287
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
402
6.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
692
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
1006
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
83% |
368
29.7 IPS |
|
|
Face Detection (SP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (HP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (Q)
|
95% |
882
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
502
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
482
3.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
886
8.12 IPS |
|
|
Style Transfer (SP)
|
89% |
1505
1.95 IPS |
|
|
Style Transfer (HP)
|
89% |
1281
1.66 IPS |
|
|
Style Transfer (Q)
|
98% |
2332
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
249
9.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
538
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.3 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.0 IPS |
|
|
Text Classification (Q)
|
88% |
162
218.9 IPS |
|
|
Machine Translation (SP)
|
100% |
216
3.73 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
50% |
101
3.58 IPS |
