motorola motorola edge plus 5G UW (2022)
Geekbench AI Score
339
Single Precision Score
11191
Half Precision Score
28523
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 08:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge plus 5G UW (2022) |
| Model ID | motorola motorola edge plus 5G UW (2022) |
| Motherboard | hiphi |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
8360
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
24390
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
6747
109.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19045
309.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
349
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
36578
42.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
224547
263.3 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
7889
625.8 IPS |
|
|
Object Detection (Q)
|
88% |
12090
968.5 IPS |
|
|
Face Detection (SP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
18463
219.4 IPS |
|
|
Face Detection (Q)
|
97% |
72926
869.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
447
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
28137
217.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
62192
572.6 IPS |
|
|
Style Transfer (SP)
|
100% |
765
0.98 IPS |
|
|
Style Transfer (HP)
|
98% |
40748
52.5 IPS |
|
|
Style Transfer (Q)
|
98% |
213468
275.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21639
799.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
53821
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
291
388.1 IPS |
|
|
Text Classification (HP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (Q)
|
94% |
4368
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (Q)
|
50% |
1242
43.0 IPS |
