motorola moto g(60)s
Geekbench AI Score
425
Single Precision Score
427
Half Precision Score
828
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 05:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6785 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g(60)s |
| Model ID | motorola moto g(60)s |
| Motherboard | lisbon |
| CPU Information | |
|---|---|
| Name | ARM MT6785 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
100% |
574
106.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
639
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
885
1.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
1423
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (Q)
|
83% |
579
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
618
7.34 IPS |
|
|
Face Detection (HP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (Q)
|
95% |
1303
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
693
5.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
716
5.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
1285
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1456
1.89 IPS |
|
|
Style Transfer (HP)
|
89% |
1473
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
3306
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
803
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.8 IPS |
|
|
Text Classification (HP)
|
100% |
240
319.9 IPS |
|
|
Text Classification (Q)
|
88% |
416
560.4 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
50% |
273
9.69 IPS |
