motorola motorola edge 30 pro
Geekbench AI Score
626
Single Precision Score
890
Half Precision Score
867
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 21 2025 08:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
507
94.2 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
97% |
439
81.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1104
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
695
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1231
1.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
1234
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
89% |
674
54.0 IPS |
|
|
Face Detection (SP)
|
100% |
1493
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
1345
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1044
8.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
2158
16.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1887
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2697
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
6038
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
5817
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
425
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.6 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.5 IPS |
|
|
Text Classification (Q)
|
91% |
321
431.8 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.23 IPS |
