motorola motorola edge 60 pro
Geekbench AI Score
1406
Single Precision Score
1387
Half Precision Score
2300
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 10 2025 03:36 PM |
| Views | 3 |
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 | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1105
205.4 IPS |
|
|
Image Classification (HP)
|
100% |
1111
206.7 IPS |
|
|
Image Classification (Q)
|
100% |
1854
344.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1243
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1874
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1965
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
5003
5.93 IPS |
|
|
Object Detection (SP)
|
98% |
977
77.7 IPS |
|
|
Object Detection (HP)
|
98% |
965
76.8 IPS |
|
|
Object Detection (Q)
|
83% |
1505
121.6 IPS |
|
|
Face Detection (SP)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (Q)
|
95% |
3620
43.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1714
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1877
14.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3805
34.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5255
6.82 IPS |
|
|
Style Transfer (HP)
|
89% |
5191
6.74 IPS |
|
|
Style Transfer (Q)
|
98% |
10374
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2454
90.9 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.2 IPS |
|
|
Text Classification (HP)
|
99% |
514
685.9 IPS |
|
|
Text Classification (Q)
|
88% |
895
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
505
17.9 IPS |
