motorola motorola edge 30 pro
Geekbench AI Score
250
Single Precision Score
241
Half Precision Score
582
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 21 2025 09:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
196
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
99% |
382
71.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
404
6.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
238
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
968
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
403
32.3 IPS |
|
|
Face Detection (SP)
|
100% |
384
4.56 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (Q)
|
97% |
895
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
308
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
309
2.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
775
7.04 IPS |
|
|
Style Transfer (SP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1516
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.1 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.7 IPS |
|
|
Text Classification (Q)
|
91% |
437
586.9 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.24 IPS |
