motorola motorola edge plus 2023
Geekbench AI Score
814
Single Precision Score
767
Half Precision Score
1405
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Michaelandroid |
| Upload Date | August 28 2025 12:42 AM |
| Views | 3 |
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% |
716
133.2 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
100% |
1101
204.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1570
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1436
1.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
3522
4.18 IPS |
|
|
Object Detection (SP)
|
98% |
410
32.6 IPS |
|
|
Object Detection (HP)
|
98% |
660
52.5 IPS |
|
|
Object Detection (Q)
|
83% |
949
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2178
26.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1077
8.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
1068
8.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
2322
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2844
3.69 IPS |
|
|
Style Transfer (HP)
|
89% |
2535
3.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6498
8.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
822
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1514
56.1 IPS |
|
|
Text Classification (SP)
|
100% |
307
410.1 IPS |
|
|
Text Classification (HP)
|
99% |
292
390.2 IPS |
|
|
Text Classification (Q)
|
88% |
432
583.2 IPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
372
13.2 IPS |
