motorola motorola edge 50 fusion
Geekbench AI Score
366
Single Precision Score
334
Half Precision Score
702
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 50 fusion |
| Model ID | motorola motorola edge 50 fusion |
| Motherboard | cuscoi |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.4 IPS |
|
|
Image Classification (Q)
|
100% |
470
87.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
529
8.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
714
0.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
1219
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
615
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (HP)
|
100% |
395
4.70 IPS |
|
|
Face Detection (Q)
|
95% |
987
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
855
6.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
564
4.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1122
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1303
1.69 IPS |
|
|
Style Transfer (HP)
|
89% |
1289
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3921
5.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
684
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.0 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (Q)
|
88% |
278
375.6 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.07 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (Q)
|
50% |
190
6.73 IPS |
