motorola motorola edge 60 pro
Geekbench AI Score
1041
Single Precision Score
4338
Half Precision Score
4323
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 27 2025 04:47 AM |
| Views | 4 |
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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
968
180.0 IPS |
|
|
Image Classification (HP)
|
100% |
4117
765.7 IPS |
|
|
Image Classification (Q)
|
99% |
7186
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1792
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8755
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17698
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
73051
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
4172
330.9 IPS |
|
|
Object Detection (Q)
|
86% |
4899
394.1 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
10039
119.3 IPS |
|
|
Face Detection (Q)
|
97% |
11051
131.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
729
5.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
19091
147.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
31011
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2730
3.51 IPS |
|
|
Style Transfer (HP)
|
100% |
521
0.67 IPS |
|
|
Style Transfer (Q)
|
30% |
411
6.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2431
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10163
375.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6921
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
106
141.8 IPS |
|
|
Text Classification (HP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (Q)
|
93% |
1515
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
60% |
335
7.55 IPS |
