motorola motorola edge plus 2023
Geekbench AI Score
1794
Single Precision Score
1831
Half Precision Score
2708
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 04:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge plus 2023 |
| Model ID | motorola motorola edge plus 2023 |
| Motherboard | rtwo |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.9 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
100% |
1991
370.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2054
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2877
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2764
3.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
6257
7.42 IPS |
|
|
Object Detection (SP)
|
98% |
1399
111.3 IPS |
|
|
Object Detection (HP)
|
98% |
1395
111.0 IPS |
|
|
Object Detection (Q)
|
83% |
1935
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (Q)
|
95% |
4148
49.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2674
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2731
21.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4418
40.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6487
8.42 IPS |
|
|
Style Transfer (HP)
|
89% |
6494
8.43 IPS |
|
|
Style Transfer (Q)
|
98% |
12128
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3082
114.2 IPS |
|
|
Text Classification (SP)
|
100% |
561
749.3 IPS |
|
|
Text Classification (HP)
|
99% |
611
815.4 IPS |
|
|
Text Classification (Q)
|
88% |
956
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
656
23.3 IPS |
