motorola motorola edge 30
Geekbench AI Score
859
Single Precision Score
838
Half Precision Score
1695
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 08 2025 04:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 30 |
| Model ID | motorola motorola edge 30 |
| Motherboard | dubai |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 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 @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.7 IPS |
|
|
Image Classification (Q)
|
100% |
1441
267.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1687
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2024
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1991
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
2973
3.53 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (Q)
|
83% |
1119
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
2772
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1472
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1465
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2701
24.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3159
4.10 IPS |
|
|
Style Transfer (HP)
|
89% |
3158
4.10 IPS |
|
|
Style Transfer (Q)
|
98% |
6824
8.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
815
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1617
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.1 IPS |
|
|
Text Classification (HP)
|
100% |
403
538.2 IPS |
|
|
Text Classification (Q)
|
88% |
756
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
388
13.8 IPS |
