motorola motorola edge 60 stylus
Geekbench AI Score
788
Single Precision Score
795
Half Precision Score
1509
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 11 2025 12:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 60 stylus |
| Model ID | motorola motorola edge 60 stylus |
| Motherboard | monai |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.8 IPS |
|
|
Image Classification (Q)
|
100% |
1382
257.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1505
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3209
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (Q)
|
83% |
1167
94.3 IPS |
|
|
Face Detection (SP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2836
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
793
6.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
820
6.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
2889
26.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3251
4.22 IPS |
|
|
Style Transfer (HP)
|
89% |
3214
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
7387
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
849
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
838
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1700
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
438
584.2 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.3 IPS |
|
|
Text Classification (Q)
|
88% |
686
925.2 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
112
3.96 IPS |
