motorola motorola edge 50s pro
Geekbench AI Score
439
Single Precision Score
692
Half Precision Score
690
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Kira01flz |
| Upload Date | April 20 2025 06:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 50s pro |
| Model ID | motorola motorola edge 50s pro |
| Motherboard | eqe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (Q)
|
96% |
428
80.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
917
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
354
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
751
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (Q)
|
87% |
366
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
1055
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
1454
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
681
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
1364
10.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1113
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1686
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3745
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3754
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
210
7.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
366
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.1 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.2 IPS |
|
|
Text Classification (Q)
|
91% |
354
476.4 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.14 IPS |
