motorola motorola edge 30 pro
Geekbench AI Score
815
Single Precision Score
797
Half Precision Score
1784
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 10:19 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 30 pro |
| Model ID | motorola motorola edge 30 pro |
| Motherboard | hiphi |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
380
70.6 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
100% |
1223
227.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1370
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1790
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1779
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
3848
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
83% |
1268
102.4 IPS |
|
|
Face Detection (SP)
|
100% |
1191
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1191
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2751
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1663
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1677
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3014
27.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2853
3.70 IPS |
|
|
Style Transfer (HP)
|
89% |
2852
3.70 IPS |
|
|
Style Transfer (Q)
|
98% |
7768
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1932
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
387
516.4 IPS |
|
|
Text Classification (HP)
|
100% |
362
483.2 IPS |
|
|
Text Classification (Q)
|
88% |
728
982.3 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
442
15.7 IPS |
