realme RMX3785
Geekbench AI Score
511
Single Precision Score
508
Half Precision Score
926
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 02:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3785 |
| Model ID | realme RMX3785 |
| Motherboard | k6835v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
100% |
636
118.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1116
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1632
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
637
51.5 IPS |
|
|
Face Detection (SP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (Q)
|
95% |
1452
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
939
7.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1486
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1862
2.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1870
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3743
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
904
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
268
358.1 IPS |
|
|
Text Classification (HP)
|
100% |
267
355.8 IPS |
|
|
Text Classification (Q)
|
88% |
457
616.8 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
50% |
303
10.8 IPS |
