motorola motorola edge 60 fusion
Geekbench AI Score
920
Single Precision Score
916
Half Precision Score
2069
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 03:22 PM |
| Views | 2 |
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% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
100% |
1484
276.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1726
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2004
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2030
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
3853
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
83% |
1425
115.1 IPS |
|
|
Face Detection (SP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
3490
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1554
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3518
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3587
4.66 IPS |
|
|
Style Transfer (HP)
|
89% |
3578
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
8728
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2080
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.4 IPS |
|
|
Text Classification (HP)
|
100% |
511
682.2 IPS |
|
|
Text Classification (Q)
|
88% |
962
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
