realme RMX2155
Geekbench AI Score
371
Single Precision Score
571
Half Precision Score
441
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Neferzix |
| Upload Date | January 17 2026 06:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6785V/CD |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | realme RMX2155 |
| Model ID | realme RMX2155 |
| Motherboard | RM6785 |
| CPU Information | |
|---|---|
| Name | ARM MT6785V/CD |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
219
40.8 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
97% |
302
56.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
549
8.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1591
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2916
3.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
2894
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
99% |
403
32.0 IPS |
|
|
Object Detection (Q)
|
83% |
351
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
809
9.62 IPS |
|
|
Face Detection (HP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (Q)
|
96% |
1136
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
943
7.27 IPS |
|
|
Depth Estimation (HP)
|
98% |
1756
13.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1374
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2419
3.11 IPS |
|
|
Style Transfer (HP)
|
100% |
4868
6.26 IPS |
|
|
Style Transfer (Q)
|
98% |
4833
6.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
988
36.6 IPS |
|
|
Text Classification (SP)
|
35% |
10
95.1 IPS |
|
|
Text Classification (HP)
|
29% |
5
86.4 IPS |
|
|
Text Classification (Q)
|
29% |
5
87.8 IPS |
|
|
Machine Translation (SP)
|
100% |
174
3.00 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (Q)
|
43% |
45
2.61 IPS |
