motorola motorola edge 60 pro
Geekbench AI Score
1007
Single Precision Score
4188
Half Precision Score
3677
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 05:32 PM |
| Views | 5 |
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% |
1003
186.6 IPS |
|
|
Image Classification (HP)
|
100% |
4058
754.7 IPS |
|
|
Image Classification (Q)
|
99% |
7406
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3962
64.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1791
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9070
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17501
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18643
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
4015
318.5 IPS |
|
|
Object Detection (Q)
|
86% |
4861
391.0 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
9947
118.2 IPS |
|
|
Face Detection (Q)
|
97% |
10999
131.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
18681
143.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
31065
295.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2524
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (Q)
|
30% |
356
5.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2520
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9986
368.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6774
986.6 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.2 IPS |
|
|
Text Classification (HP)
|
100% |
1466
1.96 KIPS |
|
|
Text Classification (Q)
|
93% |
1491
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
238
4.09 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
60% |
306
6.90 IPS |
