motorola motorola edge 50
Geekbench AI Score
876
Single Precision Score
882
Half Precision Score
2316
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 03:28 AM |
| Views | 3 |
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 | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
100% |
1627
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1862
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1818
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
4992
5.92 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
83% |
1615
130.5 IPS |
|
|
Face Detection (SP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (Q)
|
95% |
3704
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1575
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4131
37.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3383
4.39 IPS |
|
|
Style Transfer (HP)
|
89% |
3382
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
10761
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2630
97.5 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.0 IPS |
|
|
Text Classification (HP)
|
100% |
479
639.1 IPS |
|
|
Text Classification (Q)
|
88% |
952
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.6 IPS |
