motorola motorola edge 60 pro
Geekbench AI Score
1531
Single Precision Score
1528
Half Precision Score
2482
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 05:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1107
205.8 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.1 IPS |
|
|
Image Classification (Q)
|
100% |
1885
350.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1895
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2219
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2198
2.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
5556
6.59 IPS |
|
|
Object Detection (SP)
|
98% |
1074
85.5 IPS |
|
|
Object Detection (HP)
|
98% |
1083
86.1 IPS |
|
|
Object Detection (Q)
|
83% |
1687
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
2354
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (Q)
|
95% |
3908
46.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2137
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2070
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4247
38.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5815
7.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5729
7.44 IPS |
|
|
Style Transfer (Q)
|
98% |
11746
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1074
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2754
102.0 IPS |
|
|
Text Classification (SP)
|
100% |
570
760.3 IPS |
|
|
Text Classification (HP)
|
99% |
562
749.9 IPS |
|
|
Text Classification (Q)
|
88% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
507
18.0 IPS |
