motorola motorola edge 20
Geekbench AI Score
199
Single Precision Score
193
Half Precision Score
8439
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | December 09 2024 09:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
124
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
99% |
7209
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
4971
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
43437
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.81 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.83 IPS |
|
|
Object Detection (Q)
|
88% |
3003
240.6 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
317
3.76 IPS |
|
|
Face Detection (Q)
|
97% |
18807
224.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
277
2.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
18801
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
382
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
86735
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
113
4.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18282
677.4 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.6 IPS |
|
|
Text Classification (HP)
|
100% |
151
201.2 IPS |
|
|
Text Classification (Q)
|
94% |
2437
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.78 IPS |
|
|
Machine Translation (Q)
|
50% |
287
9.95 IPS |
