motorola motorola edge 60 pro
Geekbench AI Score
1242
Single Precision Score
1250
Half Precision Score
2042
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 07:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
882
164.0 IPS |
|
|
Image Classification (HP)
|
100% |
902
167.7 IPS |
|
|
Image Classification (Q)
|
100% |
1508
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1526
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1892
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1900
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
4542
5.39 IPS |
|
|
Object Detection (SP)
|
98% |
875
69.6 IPS |
|
|
Object Detection (HP)
|
98% |
897
71.4 IPS |
|
|
Object Detection (Q)
|
83% |
1413
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1889
22.4 IPS |
|
|
Face Detection (Q)
|
95% |
3281
39.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1703
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1768
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3494
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4809
6.24 IPS |
|
|
Style Transfer (HP)
|
89% |
4721
6.13 IPS |
|
|
Style Transfer (Q)
|
98% |
9455
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2277
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
466
622.3 IPS |
|
|
Text Classification (HP)
|
99% |
466
621.8 IPS |
|
|
Text Classification (Q)
|
88% |
805
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
430
15.3 IPS |
