realme RMX3870
Geekbench AI Score
239
Single Precision Score
322
Half Precision Score
314
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 12:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3870 |
| Model ID | realme RMX3870 |
| Motherboard | RM6877 |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 5.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
99% |
229
42.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
350
5.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
161
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
187
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (Q)
|
83% |
189
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
529
6.29 IPS |
|
|
Face Detection (HP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (Q)
|
97% |
623
7.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
306
2.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.07 IPS |
|
|
Depth Estimation (Q)
|
62% |
320
3.03 IPS |
|
|
Style Transfer (SP)
|
100% |
620
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
879
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
869
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
244
8.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
239
8.86 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.7 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.3 IPS |
|
|
Text Classification (Q)
|
91% |
297
399.6 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.97 IPS |
|
|
Machine Translation (Q)
|
57% |
272
6.66 IPS |
