motorola motorola edge 20 pro
Geekbench AI Score
287
Single Precision Score
285
Half Precision Score
597
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | March 23 2025 09:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (Q)
|
100% |
476
88.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
525
8.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
592
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
603
0.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
1148
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
83% |
396
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.87 IPS |
|
|
Face Detection (HP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (Q)
|
95% |
802
9.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
457
3.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
467
3.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
971
8.89 IPS |
|
|
Style Transfer (SP)
|
89% |
1073
1.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1072
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2414
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
263
9.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
610
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
153
203.9 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.1 IPS |
|
|
Text Classification (Q)
|
88% |
282
380.6 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.59 IPS |
