realme RMX3834
Geekbench AI Score
383
Single Precision Score
371
Half Precision Score
693
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | welduyeyet |
| Upload Date | September 16 2024 06:46 AM |
| Views | 4 |
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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
187
34.7 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
100% |
526
97.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
648
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
861
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
811
0.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1397
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (Q)
|
83% |
488
39.5 IPS |
|
|
Face Detection (SP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (HP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (Q)
|
95% |
1244
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
668
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1312
12.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1564
2.03 IPS |
|
|
Style Transfer (HP)
|
89% |
1629
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
2824
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
736
27.3 IPS |
|
|
Text Classification (SP)
|
100% |
188
250.8 IPS |
|
|
Text Classification (HP)
|
100% |
184
246.2 IPS |
|
|
Text Classification (Q)
|
88% |
239
321.8 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
50% |
136
4.82 IPS |
