motorola motorola edge plus 2023
Geekbench AI Score
781
Single Precision Score
845
Half Precision Score
1497
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:32 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% |
367
68.2 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
100% |
1032
191.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
1028
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2030
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1829
2.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
3662
4.34 IPS |
|
|
Object Detection (SP)
|
98% |
388
30.8 IPS |
|
|
Object Detection (HP)
|
98% |
390
31.0 IPS |
|
|
Object Detection (Q)
|
83% |
1021
82.5 IPS |
|
|
Face Detection (SP)
|
100% |
986
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2166
25.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1283
9.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1115
8.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
2557
23.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2578
3.35 IPS |
|
|
Style Transfer (HP)
|
89% |
3660
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6748
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1538
57.0 IPS |
|
|
Text Classification (SP)
|
100% |
302
402.5 IPS |
|
|
Text Classification (HP)
|
99% |
363
484.8 IPS |
|
|
Text Classification (Q)
|
88% |
585
789.4 IPS |
|
|
Machine Translation (SP)
|
100% |
555
9.57 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
425
15.1 IPS |
