motorola motorola edge 20
Geekbench AI Score
314
Single Precision Score
386
Half Precision Score
390
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | December 09 2024 08:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 20 |
| Model ID | motorola motorola edge 20 |
| Motherboard | berlin |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.3 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
97% |
261
48.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
363
5.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
225
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
89% |
180
14.4 IPS |
|
|
Face Detection (SP)
|
100% |
619
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
831
9.87 IPS |
|
|
Face Detection (Q)
|
97% |
756
9.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
599
5.67 IPS |
|
|
Style Transfer (SP)
|
100% |
973
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
1649
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
1631
2.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
211
7.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
362
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
179
239.2 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.7 IPS |
|
|
Text Classification (Q)
|
91% |
347
466.2 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.68 IPS |
