motorola motorola edge 50 fusion
Geekbench AI Score
879
Single Precision Score
878
Half Precision Score
1886
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 11:07 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 | cusco |
| 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 | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
100% |
1346
250.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1563
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1969
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3475
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.8 IPS |
|
|
Object Detection (Q)
|
83% |
1299
104.9 IPS |
|
|
Face Detection (SP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (Q)
|
95% |
3190
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1464
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1462
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3173
29.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3483
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3496
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
7977
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
841
31.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1897
70.3 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.1 IPS |
|
|
Text Classification (HP)
|
100% |
467
622.8 IPS |
|
|
Text Classification (Q)
|
88% |
872
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
451
16.0 IPS |
