motorola motorola edge 60
Geekbench AI Score
886
Single Precision Score
901
Half Precision Score
2039
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 10:14 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 |
| Model ID | motorola motorola edge 60 |
| 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 | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
100% |
1449
269.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2013
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2015
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3842
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1416
114.4 IPS |
|
|
Face Detection (SP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3420
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1516
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1525
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3511
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3647
4.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3657
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
8677
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1957
72.5 IPS |
|
|
Text Classification (SP)
|
100% |
357
476.9 IPS |
|
|
Text Classification (HP)
|
100% |
510
681.1 IPS |
|
|
Text Classification (Q)
|
88% |
953
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
473
16.8 IPS |
