motorola motorola edge plus 2023
Geekbench AI Score
224
Single Precision Score
238
Half Precision Score
511
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
147
27.3 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.6 IPS |
|
|
Image Classification (Q)
|
99% |
302
56.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
324
5.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1025
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.06 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.11 IPS |
|
|
Object Detection (Q)
|
87% |
329
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (Q)
|
97% |
877
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
342
2.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
343
2.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
641
5.82 IPS |
|
|
Style Transfer (SP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
658
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1861
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
5.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
5.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
466
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.9 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.7 IPS |
|
|
Text Classification (Q)
|
91% |
296
397.2 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (Q)
|
57% |
255
6.23 IPS |
