motorola motorola edge 60 pro
Geekbench AI Score
1048
Single Precision Score
4289
Half Precision Score
4325
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 05:50 PM |
| Views | 3 |
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% |
977
181.7 IPS |
|
|
Image Classification (HP)
|
100% |
4112
764.8 IPS |
|
|
Image Classification (Q)
|
99% |
7518
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3972
64.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1779
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9033
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17699
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
72895
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
4233
335.8 IPS |
|
|
Object Detection (Q)
|
86% |
4981
400.7 IPS |
|
|
Face Detection (SP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
10131
120.4 IPS |
|
|
Face Detection (Q)
|
97% |
11075
132.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
722
5.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
19020
146.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
30134
286.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2703
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
440
0.57 IPS |
|
|
Style Transfer (Q)
|
30% |
391
5.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2567
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10077
372.1 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6972
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
107
142.3 IPS |
|
|
Text Classification (HP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (Q)
|
93% |
1563
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (Q)
|
60% |
332
7.48 IPS |
