motorola motorola edge 50s pro
Geekbench AI Score
620
Single Precision Score
621
Half Precision Score
1228
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 29 2024 01:41 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
413
76.8 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
100% |
886
164.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
928
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1270
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1295
1.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
2703
3.21 IPS |
|
|
Object Detection (SP)
|
98% |
423
33.6 IPS |
|
|
Object Detection (HP)
|
98% |
421
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
1136
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (Q)
|
95% |
2104
25.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
964
7.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
926
7.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
2128
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2255
2.93 IPS |
|
|
Style Transfer (HP)
|
89% |
2221
2.88 IPS |
|
|
Style Transfer (Q)
|
98% |
5308
6.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1392
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
252
336.0 IPS |
|
|
Text Classification (HP)
|
99% |
253
337.7 IPS |
|
|
Text Classification (Q)
|
88% |
406
547.3 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
50% |
231
8.20 IPS |
