realme RMX3741
Geekbench AI Score
223
Single Precision Score
306
Half Precision Score
328
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | zlocorp |
| Upload Date | July 01 2025 07:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
185
34.4 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (Q)
|
99% |
331
61.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
412
6.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
157
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
187
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
187
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
238
19.2 IPS |
|
|
Face Detection (SP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (HP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
834
9.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
307
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
412
3.17 IPS |
|
|
Depth Estimation (Q)
|
62% |
333
3.15 IPS |
|
|
Style Transfer (SP)
|
100% |
618
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
878
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
875
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
166
6.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
253
9.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
250
9.27 IPS |
|
|
Text Classification (SP)
|
100% |
88
117.6 IPS |
|
|
Text Classification (HP)
|
100% |
88
117.6 IPS |
|
|
Text Classification (Q)
|
91% |
209
280.4 IPS |
|
|
Machine Translation (SP)
|
100% |
163
2.81 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.76 IPS |
|
|
Machine Translation (Q)
|
57% |
192
4.68 IPS |
