motorola motorola edge 60 pro
Geekbench AI Score
1375
Single Precision Score
1848
Half Precision Score
1529
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 06:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
623
115.9 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (Q)
|
97% |
778
145.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2314
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7619
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
13108
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12170
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
99% |
1074
85.2 IPS |
|
|
Object Detection (Q)
|
83% |
998
80.6 IPS |
|
|
Face Detection (SP)
|
100% |
2797
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
4106
48.8 IPS |
|
|
Face Detection (Q)
|
96% |
3344
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4180
32.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6658
51.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
5337
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12450
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22193
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20633
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2851
105.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2738
101.5 IPS |
|
|
Text Classification (SP)
|
35% |
22
199.9 IPS |
|
|
Text Classification (HP)
|
29% |
13
219.5 IPS |
|
|
Text Classification (Q)
|
32% |
17
224.4 IPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
43% |
187
10.9 IPS |
