realme RMX3700
Geekbench AI Score
812
Single Precision Score
1180
Half Precision Score
1008
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 26 2025 08:10 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
571
106.3 IPS |
|
|
Image Classification (HP)
|
100% |
809
150.5 IPS |
|
|
Image Classification (Q)
|
99% |
841
156.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1071
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4640
5.41 IPS |
|
|
Pose Estimation (HP)
|
99% |
8452
9.86 IPS |
|
|
Pose Estimation (Q)
|
97% |
8306
9.73 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
99% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
85% |
460
37.1 IPS |
|
|
Face Detection (SP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
2134
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
1668
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2239
17.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3223
24.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
2609
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5510
7.08 IPS |
|
|
Style Transfer (HP)
|
100% |
10674
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10229
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1161
43.0 IPS |
|
|
Text Classification (SP)
|
35% |
24
236.0 IPS |
|
|
Text Classification (HP)
|
35% |
32
292.0 IPS |
|
|
Text Classification (Q)
|
35% |
31
277.4 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
97% |
286
4.94 IPS |
|
|
Machine Translation (Q)
|
64% |
197
4.05 IPS |
