motorola motorola edge plus 2023
Geekbench AI Score
1016
Single Precision Score
932
Half Precision Score
1995
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 01:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
669
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
100% |
1753
326.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1976
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1868
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1410
1.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
6078
7.21 IPS |
|
|
Object Detection (SP)
|
98% |
558
44.4 IPS |
|
|
Object Detection (HP)
|
98% |
677
53.9 IPS |
|
|
Object Detection (Q)
|
83% |
1413
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
971
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2427
29.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1552
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1665
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3098
28.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4066
5.28 IPS |
|
|
Style Transfer (HP)
|
89% |
4069
5.28 IPS |
|
|
Style Transfer (Q)
|
98% |
7018
9.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
849
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1788
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
359
479.2 IPS |
|
|
Text Classification (HP)
|
99% |
359
479.0 IPS |
|
|
Text Classification (Q)
|
88% |
676
911.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
527
18.7 IPS |
