motorola motorola edge 60 pro
Geekbench AI Score
1056
Single Precision Score
4359
Half Precision Score
4384
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 06:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1007
187.3 IPS |
|
|
Image Classification (HP)
|
100% |
3987
741.5 IPS |
|
|
Image Classification (Q)
|
99% |
7362
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4011
65.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1784
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9105
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17693
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
73035
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
4195
332.8 IPS |
|
|
Object Detection (Q)
|
86% |
4937
397.1 IPS |
|
|
Face Detection (SP)
|
100% |
3387
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
10151
120.6 IPS |
|
|
Face Detection (Q)
|
97% |
11130
132.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
749
5.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
19024
146.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
31160
295.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2894
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
527
0.68 IPS |
|
|
Style Transfer (Q)
|
30% |
429
6.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2576
95.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10236
378.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6965
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
94
125.0 IPS |
|
|
Text Classification (HP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (Q)
|
93% |
1556
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (Q)
|
60% |
344
7.74 IPS |
