motorola moto g31(w)
Geekbench AI Score
347
Single Precision Score
349
Half Precision Score
610
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | benched |
| Upload Date | October 08 2024 07:22 PM |
| Views | 15 |
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% |
194
36.2 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (Q)
|
100% |
591
109.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
679
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
812
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
834
0.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
933
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
514
41.5 IPS |
|
|
Face Detection (SP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (HP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (Q)
|
95% |
1145
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
575
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
530
4.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
953
8.73 IPS |
|
|
Style Transfer (SP)
|
89% |
1241
1.61 IPS |
|
|
Style Transfer (HP)
|
89% |
1358
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2527
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
636
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.6 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.5 IPS |
|
|
Text Classification (Q)
|
88% |
195
262.9 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (Q)
|
50% |
110
3.91 IPS |
