motorola motorola edge 30
Geekbench AI Score
383
Single Precision Score
312
Half Precision Score
881
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 01:50 PM |
| Views | 1 |
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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
100% |
777
144.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
490
7.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
1276
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1092
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
675
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
95% |
1766
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1018
7.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
484
3.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
1620
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1127
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1129
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
4471
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
616
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
203
271.3 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.5 IPS |
|
|
Text Classification (Q)
|
88% |
440
593.0 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.90 IPS |
|
|
Machine Translation (Q)
|
50% |
290
10.3 IPS |
