motorola motorola edge 20
Geekbench AI Score
313
Single Precision Score
313
Half Precision Score
660
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | December 09 2024 08:26 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
168
31.3 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
100% |
473
88.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
493
8.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
630
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1159
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
83% |
473
38.2 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
95% |
862
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
503
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
495
3.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1035
9.48 IPS |
|
|
Style Transfer (SP)
|
89% |
1123
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1124
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2310
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
647
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
185
246.7 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.7 IPS |
|
|
Text Classification (Q)
|
88% |
359
484.3 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.93 IPS |
|
|
Machine Translation (Q)
|
50% |
259
9.19 IPS |
