motorola motorola edge 5G UW (2021)
Geekbench AI Score
397
Single Precision Score
308
Half Precision Score
711
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | 11shihabaheti |
| Upload Date | July 31 2025 02:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola motorola edge 5G UW (2021) |
| Model ID | motorola motorola edge 5G UW (2021) |
| Motherboard | berlna |
| 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 | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
100% |
468
87.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
486
7.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
641
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1493
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
83% |
465
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
634
7.54 IPS |
|
|
Face Detection (HP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (Q)
|
95% |
1194
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
816
6.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
487
3.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1159
10.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1514
1.97 IPS |
|
|
Style Transfer (HP)
|
89% |
1149
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3025
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
603
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.6 IPS |
|
|
Text Classification (HP)
|
100% |
172
230.2 IPS |
|
|
Text Classification (Q)
|
88% |
329
443.2 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (Q)
|
50% |
255
9.07 IPS |
