motorola motorola edge 20 pro
Geekbench AI Score
232
Single Precision Score
233
Half Precision Score
971
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 07:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
172
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
96% |
1151
214.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1220
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
13072
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (Q)
|
84% |
1244
100.3 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
97% |
2082
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
270
2.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
271
2.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
5396
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
447
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
18521
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.1 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.6 IPS |
|
|
Text Classification (Q)
|
93% |
306
411.4 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.40 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.05 IPS |
