realme RMX2155
Geekbench AI Score
449
Single Precision Score
450
Half Precision Score
837
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Neferzix |
| Upload Date | January 17 2026 06:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
208
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (Q)
|
100% |
591
109.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
666
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
986
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1470
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
83% |
582
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
651
7.74 IPS |
|
|
Face Detection (HP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (Q)
|
95% |
1341
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
756
5.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
832
6.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
1275
11.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1570
2.04 IPS |
|
|
Style Transfer (HP)
|
89% |
1569
2.04 IPS |
|
|
Style Transfer (Q)
|
98% |
3184
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
767
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
227
303.5 IPS |
|
|
Text Classification (HP)
|
100% |
225
299.9 IPS |
|
|
Text Classification (Q)
|
88% |
416
560.6 IPS |
|
|
Machine Translation (SP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
50% |
291
10.3 IPS |
