realme RMX3430
Geekbench AI Score
394
Single Precision Score
392
Half Precision Score
763
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 10:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3430 |
| Model ID | realme RMX3430 |
| Motherboard | RM6769 |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.2 IPS |
|
|
Image Classification (Q)
|
100% |
533
99.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
669
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
875
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
876
1.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
1570
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
83% |
544
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (HP)
|
100% |
492
5.85 IPS |
|
|
Face Detection (Q)
|
95% |
1186
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
660
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
612
4.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1381
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1732
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1719
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
3616
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
800
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.3 IPS |
|
|
Text Classification (HP)
|
100% |
206
275.0 IPS |
|
|
Text Classification (Q)
|
88% |
281
379.2 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
50% |
166
5.89 IPS |
