realme RMX3286
Geekbench AI Score
436
Single Precision Score
430
Half Precision Score
790
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 04:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6781V/CDZAMB-H |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3286 |
| Model ID | realme RMX3286 |
| Motherboard | RM6781 |
| CPU Information | |
|---|---|
| Name | ARM MT6781V/CDZAMB-H |
| 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 | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (Q)
|
100% |
590
109.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
614
9.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
927
1.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
1303
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
525
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
612
7.27 IPS |
|
|
Face Detection (HP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (Q)
|
95% |
1211
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
805
6.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
766
5.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
1209
11.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1478
1.92 IPS |
|
|
Style Transfer (HP)
|
89% |
1505
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
3010
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
734
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.6 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.8 IPS |
|
|
Text Classification (Q)
|
88% |
415
559.6 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.64 IPS |
|
|
Machine Translation (Q)
|
50% |
285
10.1 IPS |
