motorola motorola edge 60 pro
Geekbench AI Score
1418
Single Precision Score
1383
Half Precision Score
2328
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | motorola motorola edge 60 pro |
| Model ID | motorola motorola edge 60 pro |
| Motherboard | cybert |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
1130
210.2 IPS |
|
|
Image Classification (Q)
|
100% |
1840
342.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2043
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2208
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
4996
5.92 IPS |
|
|
Object Detection (SP)
|
98% |
940
74.8 IPS |
|
|
Object Detection (HP)
|
98% |
931
74.1 IPS |
|
|
Object Detection (Q)
|
83% |
1481
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
2117
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3726
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1904
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1807
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3816
34.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5259
6.83 IPS |
|
|
Style Transfer (HP)
|
89% |
5154
6.69 IPS |
|
|
Style Transfer (Q)
|
98% |
10540
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2485
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
511
682.7 IPS |
|
|
Text Classification (HP)
|
99% |
514
686.5 IPS |
|
|
Text Classification (Q)
|
88% |
896
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
504
17.9 IPS |
