motorola motorola edge plus 2023
Geekbench AI Score
1519
Single Precision Score
2469
Half Precision Score
2053
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
934
173.7 IPS |
|
|
Image Classification (HP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (Q)
|
99% |
1202
224.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3441
55.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2688
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7633
8.91 IPS |
|
|
Pose Estimation (HP)
|
99% |
13672
16.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
13831
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.3 IPS |
|
|
Object Detection (HP)
|
99% |
1312
104.0 IPS |
|
|
Object Detection (Q)
|
82% |
1146
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5869
69.7 IPS |
|
|
Face Detection (Q)
|
97% |
5993
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3925
30.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6155
47.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
4950
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9713
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20726
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20551
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1970
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3030
112.3 IPS |
|
|
Text Classification (SP)
|
35% |
39
379.1 IPS |
|
|
Text Classification (HP)
|
35% |
64
581.3 IPS |
|
|
Text Classification (Q)
|
35% |
56
544.3 IPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
97% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
49% |
252
9.46 IPS |
