motorola motorola edge 60 pro
Geekbench AI Score
1600
Single Precision Score
1585
Half Precision Score
2682
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 06:47 PM |
| Views | 1 |
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% |
1208
224.6 IPS |
|
|
Image Classification (HP)
|
100% |
1253
233.1 IPS |
|
|
Image Classification (Q)
|
100% |
2084
387.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2251
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
5783
6.86 IPS |
|
|
Object Detection (SP)
|
98% |
1137
90.5 IPS |
|
|
Object Detection (HP)
|
98% |
1134
90.2 IPS |
|
|
Object Detection (Q)
|
83% |
1778
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
2328
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (Q)
|
95% |
4291
51.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2243
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2090
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4486
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5939
7.71 IPS |
|
|
Style Transfer (HP)
|
89% |
5973
7.75 IPS |
|
|
Style Transfer (Q)
|
98% |
12115
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2876
106.6 IPS |
|
|
Text Classification (SP)
|
100% |
601
802.4 IPS |
|
|
Text Classification (HP)
|
99% |
605
807.0 IPS |
|
|
Text Classification (Q)
|
88% |
1023
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
582
20.7 IPS |
