realme RMX3700
Geekbench AI Score
1203
Single Precision Score
1206
Half Precision Score
2753
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 26 2025 08:03 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
516
95.9 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
100% |
1927
358.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2167
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2551
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2487
2.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
5516
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
83% |
1848
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
1813
21.5 IPS |
|
|
Face Detection (Q)
|
95% |
4326
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2460
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2460
19.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4768
43.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4182
5.43 IPS |
|
|
Style Transfer (HP)
|
89% |
4175
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
12264
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1315
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3050
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
572
764.0 IPS |
|
|
Text Classification (HP)
|
100% |
572
762.9 IPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
50% |
705
25.0 IPS |
