motorola motorola edge 50
Geekbench AI Score
873
Single Precision Score
876
Half Precision Score
2312
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 04:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 50 |
| Model ID | motorola motorola edge 50 |
| Motherboard | tank |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
100% |
1626
302.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1843
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
4891
5.80 IPS |
|
|
Object Detection (SP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
83% |
1614
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
1090
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1093
13.0 IPS |
|
|
Face Detection (Q)
|
95% |
3666
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1531
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1501
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4093
37.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3336
4.33 IPS |
|
|
Style Transfer (HP)
|
89% |
3370
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
10663
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
875
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2618
97.0 IPS |
|
|
Text Classification (SP)
|
100% |
481
642.6 IPS |
|
|
Text Classification (HP)
|
100% |
475
634.0 IPS |
|
|
Text Classification (Q)
|
88% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
460
16.3 IPS |
