motorola motorola edge 60 fusion
Geekbench AI Score
928
Single Precision Score
928
Half Precision Score
2071
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 31 2025 11:06 PM |
| Views | 45 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 60 fusion |
| Model ID | motorola motorola edge 60 fusion |
| Motherboard | scout |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
100% |
1483
275.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1733
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3864
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
83% |
1428
115.3 IPS |
|
|
Face Detection (SP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1090
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
3481
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1516
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3498
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3675
4.77 IPS |
|
|
Style Transfer (HP)
|
89% |
3674
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
8711
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
863
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2072
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
518
691.3 IPS |
|
|
Text Classification (HP)
|
100% |
517
689.5 IPS |
|
|
Text Classification (Q)
|
88% |
965
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.2 IPS |
