realme RMX3834
Geekbench AI Score
400
Single Precision Score
399
Half Precision Score
736
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 11:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3834 |
| Model ID | realme RMX3834 |
| Motherboard | ums9230_hulk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 8 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 2.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (Q)
|
100% |
505
93.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
664
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
893
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
888
1.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
1482
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
508
41.0 IPS |
|
|
Face Detection (SP)
|
100% |
491
5.83 IPS |
|
|
Face Detection (HP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (Q)
|
95% |
1252
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
639
4.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
636
4.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
1375
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1761
2.29 IPS |
|
|
Style Transfer (HP)
|
89% |
1767
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3483
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
348
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
799
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.5 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.5 IPS |
|
|
Text Classification (Q)
|
88% |
266
358.7 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
50% |
145
5.16 IPS |
