motorola motorola edge 60 fusion
Geekbench AI Score
921
Single Precision Score
920
Half Precision Score
2072
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 10 2025 01:40 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% |
462
85.9 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
100% |
1490
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1730
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2020
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2010
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3853
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
1432
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
3496
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1554
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1540
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3515
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3594
4.67 IPS |
|
|
Style Transfer (HP)
|
89% |
3580
4.65 IPS |
|
|
Style Transfer (Q)
|
98% |
8693
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2064
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.2 IPS |
|
|
Text Classification (HP)
|
100% |
517
690.0 IPS |
|
|
Text Classification (Q)
|
88% |
969
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
480
17.0 IPS |
