motorola motorola edge 60 fusion
Geekbench AI Score
918
Single Precision Score
919
Half Precision Score
2064
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 23 2025 07:09 AM |
| Views | 4 |
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% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.1 IPS |
|
|
Image Classification (Q)
|
100% |
1465
272.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1718
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2016
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3855
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1423
114.9 IPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
3489
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1508
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3500
32.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3650
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
3664
4.76 IPS |
|
|
Style Transfer (Q)
|
98% |
8675
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2069
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
518
691.2 IPS |
|
|
Text Classification (HP)
|
100% |
513
684.8 IPS |
|
|
Text Classification (Q)
|
88% |
977
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
