realme RMX3700
Geekbench AI Score
284
Single Precision Score
285
Half Precision Score
694
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 26 2025 08:24 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3700 |
| Model ID | realme RMX3700 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.6 IPS |
|
|
Image Classification (Q)
|
99% |
460
85.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
496
8.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
300
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
300
0.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
1175
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
87% |
502
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
1076
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
381
2.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
944
8.57 IPS |
|
|
Style Transfer (SP)
|
100% |
663
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
664
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1842
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
182
6.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
179
6.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
663
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
239
319.1 IPS |
|
|
Text Classification (HP)
|
100% |
239
319.0 IPS |
|
|
Text Classification (Q)
|
91% |
430
577.5 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (Q)
|
57% |
362
8.84 IPS |
