motorola motorola edge plus 2023
Geekbench AI Score
1508
Single Precision Score
2449
Half Precision Score
1989
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Michaelandroid |
| Upload Date | August 31 2025 09:18 AM |
| Views | 10 |
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% |
1029
191.4 IPS |
|
|
Image Classification (HP)
|
100% |
1507
280.2 IPS |
|
|
Image Classification (Q)
|
99% |
1403
261.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3497
56.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2723
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7615
8.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
13570
15.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
13059
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
99% |
1195
94.8 IPS |
|
|
Object Detection (Q)
|
82% |
1124
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5422
64.4 IPS |
|
|
Face Detection (Q)
|
97% |
4489
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4147
31.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5934
45.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
4861
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9885
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21474
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20333
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3232
119.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3146
116.6 IPS |
|
|
Text Classification (SP)
|
35% |
39
377.0 IPS |
|
|
Text Classification (HP)
|
35% |
58
529.0 IPS |
|
|
Text Classification (Q)
|
35% |
50
491.8 IPS |
|
|
Machine Translation (SP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (HP)
|
97% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
49% |
248
9.33 IPS |
