motorola motorola edge 30 pro
Geekbench AI Score
318
Single Precision Score
11093
Half Precision Score
28274
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 09:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
194
36.1 IPS |
|
|
Image Classification (HP)
|
100% |
8279
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
24045
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
6659
108.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18866
306.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
326
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
36382
42.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
224494
263.2 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
7799
618.6 IPS |
|
|
Object Detection (Q)
|
88% |
11909
954.0 IPS |
|
|
Face Detection (SP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (HP)
|
100% |
18213
216.4 IPS |
|
|
Face Detection (Q)
|
97% |
72535
864.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
410
3.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
28094
217.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
62133
572.0 IPS |
|
|
Style Transfer (SP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (HP)
|
98% |
41050
52.9 IPS |
|
|
Style Transfer (Q)
|
98% |
214432
276.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21441
791.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
53256
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
280
373.3 IPS |
|
|
Text Classification (HP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (Q)
|
94% |
4371
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (Q)
|
50% |
1197
41.5 IPS |
