motorola motorola edge 20 pro
Geekbench AI Score
53
Single Precision Score
53
Half Precision Score
843
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | March 23 2025 10:25 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 20 pro |
| Model ID | motorola motorola edge 20 pro |
| Motherboard | pstar |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
29
5.42 IPS |
|
|
Image Classification (HP)
|
100% |
30
5.52 IPS |
|
|
Image Classification (Q)
|
96% |
1172
218.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
39
0.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
39
0.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1189
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
57
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
55
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
13061
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
30
2.39 IPS |
|
|
Object Detection (HP)
|
100% |
30
2.40 IPS |
|
|
Object Detection (Q)
|
84% |
1211
97.6 IPS |
|
|
Face Detection (SP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
1979
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
70
0.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
71
0.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
5308
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
127
0.16 IPS |
|
|
Style Transfer (HP)
|
100% |
129
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
18539
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37
1.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37
1.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
138
5.10 IPS |
|
|
Text Classification (SP)
|
100% |
51
68.7 IPS |
|
|
Text Classification (HP)
|
100% |
50
67.2 IPS |
|
|
Text Classification (Q)
|
93% |
306
411.0 IPS |
|
|
Machine Translation (SP)
|
100% |
83
1.43 IPS |
|
|
Machine Translation (HP)
|
100% |
83
1.43 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.98 IPS |
