realme RMX3785
Geekbench AI Score
501
Single Precision Score
497
Half Precision Score
900
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 05:59 AM |
| Views | 1 |
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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
100% |
630
117.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
708
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1130
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1068
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1560
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
617
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
699
8.30 IPS |
|
|
Face Detection (HP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (Q)
|
95% |
1399
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
882
6.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
867
6.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1431
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1811
2.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1812
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
3596
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
867
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
260
346.7 IPS |
|
|
Text Classification (HP)
|
100% |
258
343.8 IPS |
|
|
Text Classification (Q)
|
88% |
444
598.3 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
