motorola motorola edge plus 2023
Geekbench AI Score
215
Single Precision Score
15921
Half Precision Score
35706
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 04:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
12152
2.26 KIPS |
|
|
Image Classification (Q)
|
97% |
32233
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
7404
120.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20764
337.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
232
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
72188
84.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
293068
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.37 IPS |
|
|
Object Detection (HP)
|
100% |
11656
924.6 IPS |
|
|
Object Detection (Q)
|
86% |
12983
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (HP)
|
100% |
22811
271.0 IPS |
|
|
Face Detection (Q)
|
97% |
73107
871.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
285
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
44512
342.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
80152
750.5 IPS |
|
|
Style Transfer (SP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (HP)
|
98% |
60732
78.3 IPS |
|
|
Style Transfer (Q)
|
98% |
292799
377.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32309
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82073
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
166
221.5 IPS |
|
|
Text Classification (HP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (HP)
|
100% |
2759
47.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1711
44.8 IPS |
