motorola motorola edge 60 pro
Geekbench AI Score
1619
Single Precision Score
1623
Half Precision Score
2719
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 25 2025 09:34 AM |
| Views | 125 |
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% |
1206
224.2 IPS |
|
|
Image Classification (HP)
|
100% |
1225
227.8 IPS |
|
|
Image Classification (Q)
|
100% |
2084
387.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2050
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2421
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2468
2.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
6060
7.19 IPS |
|
|
Object Detection (SP)
|
98% |
1165
92.7 IPS |
|
|
Object Detection (HP)
|
98% |
1192
94.9 IPS |
|
|
Object Detection (Q)
|
83% |
1902
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
2342
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (Q)
|
95% |
4477
53.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2229
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2319
17.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4662
42.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5982
7.77 IPS |
|
|
Style Transfer (HP)
|
89% |
5857
7.60 IPS |
|
|
Style Transfer (Q)
|
98% |
12136
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2932
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
601
801.9 IPS |
|
|
Text Classification (HP)
|
99% |
608
812.2 IPS |
|
|
Text Classification (Q)
|
88% |
1043
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
