motorola motorola edge 20 pro
Geekbench AI Score
369
Single Precision Score
594
Half Precision Score
607
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 06:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
97% |
400
74.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
607
9.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
1093
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
89% |
295
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (HP)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
1149
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
651
5.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1206
9.32 IPS |
|
|
Depth Estimation (Q)
|
62% |
992
9.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1257
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3045
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
3014
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
597
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
582
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
134
178.9 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.1 IPS |
|
|
Text Classification (Q)
|
91% |
239
321.8 IPS |
|
|
Machine Translation (SP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.02 IPS |
|
|
Machine Translation (Q)
|
57% |
183
4.47 IPS |
