motorola motorola edge 50
Geekbench AI Score
795
Single Precision Score
797
Half Precision Score
2009
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 03:27 AM |
| Views | 1 |
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% |
442
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (Q)
|
100% |
1611
299.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1818
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1764
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1761
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
4454
5.28 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (Q)
|
83% |
1378
111.3 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
3261
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1393
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1371
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3566
32.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3058
3.97 IPS |
|
|
Style Transfer (HP)
|
89% |
3070
3.99 IPS |
|
|
Style Transfer (Q)
|
98% |
9419
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2083
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
377
503.7 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.7 IPS |
|
|
Text Classification (Q)
|
88% |
646
870.6 IPS |
|
|
Machine Translation (SP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
405
14.4 IPS |
