motorola motorola edge 60 pro
Geekbench AI Score
1291
Single Precision Score
1320
Half Precision Score
2111
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 05:19 PM |
| Views | 5 |
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% |
905
168.2 IPS |
|
|
Image Classification (HP)
|
100% |
930
173.0 IPS |
|
|
Image Classification (Q)
|
100% |
1196
222.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
805
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1292
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1526
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1937
2.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
4983
5.91 IPS |
|
|
Object Detection (SP)
|
98% |
975
77.6 IPS |
|
|
Object Detection (HP)
|
98% |
983
78.2 IPS |
|
|
Object Detection (Q)
|
83% |
1489
120.3 IPS |
|
|
Face Detection (SP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (Q)
|
95% |
3557
42.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2052
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2053
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3800
34.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5062
6.57 IPS |
|
|
Style Transfer (HP)
|
89% |
5033
6.53 IPS |
|
|
Style Transfer (Q)
|
98% |
10451
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2482
92.0 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.8 IPS |
|
|
Text Classification (HP)
|
99% |
505
673.9 IPS |
|
|
Text Classification (Q)
|
88% |
891
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
493
17.5 IPS |
