realme RMX3741
Geekbench AI Score
511
Single Precision Score
509
Half Precision Score
906
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | zlocorp |
| Upload Date | July 01 2025 06:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3741 |
| Model ID | realme RMX3741 |
| Motherboard | RM6877 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (Q)
|
100% |
607
113.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
694
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1436
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
83% |
603
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
714
8.48 IPS |
|
|
Face Detection (HP)
|
100% |
714
8.48 IPS |
|
|
Face Detection (Q)
|
95% |
1420
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
957
7.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
968
7.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
1368
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1751
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1754
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3463
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
832
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
254
338.5 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.6 IPS |
|
|
Text Classification (Q)
|
88% |
517
697.7 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
50% |
355
12.6 IPS |
