realme RMX3834
Geekbench AI Score
136
Single Precision Score
150
Half Precision Score
157
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | welduyeyet |
| Upload Date | September 16 2024 08:01 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
83
15.3 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
99% |
103
19.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
107
1.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
144
2.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
467
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
467
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
431
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
46
3.66 IPS |
|
|
Object Detection (HP)
|
100% |
46
3.68 IPS |
|
|
Object Detection (Q)
|
87% |
87
7.01 IPS |
|
|
Face Detection (SP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (HP)
|
100% |
268
3.19 IPS |
|
|
Face Detection (Q)
|
97% |
204
2.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
370
2.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
372
2.87 IPS |
|
|
Depth Estimation (Q)
|
66% |
345
3.02 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
206
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
587
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
205
7.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
213
7.88 IPS |
|
|
Text Classification (SP)
|
100% |
23
30.6 IPS |
|
|
Text Classification (HP)
|
100% |
65
86.9 IPS |
|
|
Text Classification (Q)
|
93% |
38
51.6 IPS |
|
|
Machine Translation (SP)
|
100% |
76
1.31 IPS |
|
|
Machine Translation (HP)
|
100% |
114
1.96 IPS |
|
|
Machine Translation (Q)
|
55% |
50
1.33 IPS |
