motorola motorola edge 20 pro
Geekbench AI Score
410
Single Precision Score
432
Half Precision Score
1796
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 06:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 11.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (HP)
|
100% |
732
136.1 IPS |
|
|
Image Classification (Q)
|
97% |
1271
237.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
161
2.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1232
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1587
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5952
6.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
11202
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.45 IPS |
|
|
Object Detection (Q)
|
85% |
1547
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
97% |
3538
42.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
441
3.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
234
1.81 IPS |
|
|
Depth Estimation (Q)
|
63% |
6187
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
629
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
407
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
3310
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2303
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5117
189.6 IPS |
|
|
Text Classification (SP)
|
71% |
10
14.1 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.1 IPS |
|
|
Text Classification (Q)
|
93% |
199
267.7 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (Q)
|
54% |
175
4.94 IPS |
