motorola motorola edge 60 pro
Geekbench AI Score
1067
Single Precision Score
4348
Half Precision Score
4379
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 04:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1034
192.3 IPS |
|
|
Image Classification (HP)
|
100% |
4008
745.4 IPS |
|
|
Image Classification (Q)
|
99% |
7263
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3977
64.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1785
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9311
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17542
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
72653
85.2 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
4305
341.4 IPS |
|
|
Object Detection (Q)
|
86% |
5041
405.5 IPS |
|
|
Face Detection (SP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
10074
119.7 IPS |
|
|
Face Detection (Q)
|
97% |
11166
133.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
748
5.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
19049
146.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
30880
293.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2917
3.75 IPS |
|
|
Style Transfer (HP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (Q)
|
30% |
422
6.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10141
374.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6922
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
88
117.6 IPS |
|
|
Text Classification (HP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1555
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
60% |
349
7.85 IPS |
