realme RMX5011
Geekbench AI Score
158
Single Precision Score
159
Half Precision Score
357
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 01:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5011 |
| Model ID | realme RMX5011 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
88
16.4 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (Q)
|
99% |
238
44.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
121
1.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
239
3.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
161
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
161
0.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
607
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
88
6.96 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.02 IPS |
|
|
Object Detection (Q)
|
87% |
245
19.6 IPS |
|
|
Face Detection (SP)
|
100% |
251
2.99 IPS |
|
|
Face Detection (HP)
|
100% |
254
3.01 IPS |
|
|
Face Detection (Q)
|
97% |
527
6.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
214
1.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
215
1.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
482
4.38 IPS |
|
|
Style Transfer (SP)
|
100% |
410
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
404
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1126
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
103
3.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
353
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
129
172.8 IPS |
|
|
Text Classification (HP)
|
100% |
130
173.3 IPS |
|
|
Text Classification (Q)
|
91% |
216
290.4 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
57% |
187
4.58 IPS |
