realme RMX2151L1
Geekbench AI Score
210
Single Precision Score
191
Half Precision Score
449
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 11:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6785V/CD |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | realme RMX2151L1 |
| Model ID | realme RMX2151L1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.5 IPS |
|
|
Image Classification (Q)
|
100% |
261
48.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
95
1.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
94
1.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
385
6.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
564
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
343
0.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
605
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.66 IPS |
|
|
Object Detection (HP)
|
100% |
82
6.51 IPS |
|
|
Object Detection (Q)
|
83% |
263
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
192
2.28 IPS |
|
|
Face Detection (HP)
|
100% |
247
2.93 IPS |
|
|
Face Detection (Q)
|
95% |
811
9.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
257
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
424
3.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
575
5.27 IPS |
|
|
Style Transfer (SP)
|
89% |
609
0.79 IPS |
|
|
Style Transfer (HP)
|
89% |
670
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1446
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
347
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.5 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.8 IPS |
|
|
Text Classification (Q)
|
88% |
482
650.3 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.67 IPS |
|
|
Machine Translation (Q)
|
50% |
185
6.56 IPS |
