realme RMX3834
Geekbench AI Score
395
Single Precision Score
385
Half Precision Score
670
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 07:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
193
35.9 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (Q)
|
100% |
461
85.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
401
6.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
841
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
768
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1461
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
83% |
496
40.1 IPS |
|
|
Face Detection (SP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (Q)
|
95% |
1238
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
672
5.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
640
4.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1342
12.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1751
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1758
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3338
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
348
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
702
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.1 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.2 IPS |
|
|
Text Classification (Q)
|
88% |
247
332.6 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (Q)
|
50% |
143
5.07 IPS |
