motorola motorola edge plus 2023
Geekbench AI Score
2010
Single Precision Score
2019
Half Precision Score
2995
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 01:49 AM |
| Views | 1 |
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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
1474
274.1 IPS |
|
|
Image Classification (Q)
|
100% |
2131
396.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2136
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2944
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3023
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
5885
6.98 IPS |
|
|
Object Detection (SP)
|
98% |
1564
124.5 IPS |
|
|
Object Detection (HP)
|
98% |
1537
122.3 IPS |
|
|
Object Detection (Q)
|
83% |
2181
176.2 IPS |
|
|
Face Detection (SP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4864
58.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3112
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3099
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5050
46.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7253
9.41 IPS |
|
|
Style Transfer (HP)
|
89% |
7266
9.43 IPS |
|
|
Style Transfer (Q)
|
98% |
13884
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3526
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
701
935.8 IPS |
|
|
Text Classification (HP)
|
99% |
695
927.1 IPS |
|
|
Text Classification (Q)
|
88% |
1134
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
729
25.9 IPS |
