motorola motorola edge 20
Geekbench AI Score
210
Single Precision Score
211
Half Precision Score
494
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | December 09 2024 09:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
123
22.9 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
323
60.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
375
6.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
853
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.76 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.80 IPS |
|
|
Object Detection (Q)
|
87% |
340
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
317
3.76 IPS |
|
|
Face Detection (Q)
|
97% |
728
8.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
276
2.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
654
5.94 IPS |
|
|
Style Transfer (SP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1307
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
490
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
179
239.5 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.5 IPS |
|
|
Text Classification (Q)
|
91% |
347
466.2 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (Q)
|
57% |
235
5.73 IPS |
