motorola motorola edge 60 pro
Geekbench AI Score
1536
Single Precision Score
1549
Half Precision Score
2549
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 07:37 PM |
| Views | 2 |
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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1171
217.9 IPS |
|
|
Image Classification (HP)
|
100% |
1167
217.0 IPS |
|
|
Image Classification (Q)
|
100% |
1947
362.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1983
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2327
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
5808
6.89 IPS |
|
|
Object Detection (SP)
|
98% |
1092
86.9 IPS |
|
|
Object Detection (HP)
|
98% |
1154
91.8 IPS |
|
|
Object Detection (Q)
|
83% |
1797
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
2300
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2300
27.3 IPS |
|
|
Face Detection (Q)
|
95% |
4180
49.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2131
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2250
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4179
38.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5538
7.19 IPS |
|
|
Style Transfer (HP)
|
89% |
5529
7.18 IPS |
|
|
Style Transfer (Q)
|
98% |
11510
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1064
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1052
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2710
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
563
751.1 IPS |
|
|
Text Classification (HP)
|
99% |
568
758.8 IPS |
|
|
Text Classification (Q)
|
88% |
979
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
540
19.2 IPS |
