realme RMX5011
Geekbench AI Score
265
Single Precision Score
245
Half Precision Score
568
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 06:44 AM |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.8 IPS |
|
|
Image Classification (Q)
|
99% |
1056
197.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
345
5.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
860
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.95 IPS |
|
|
Object Detection (Q)
|
87% |
350
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
97% |
767
9.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
297
2.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
297
2.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
682
6.19 IPS |
|
|
Style Transfer (SP)
|
100% |
556
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
556
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1520
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
146
5.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
501
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.3 IPS |
|
|
Text Classification (HP)
|
100% |
186
247.8 IPS |
|
|
Text Classification (Q)
|
91% |
308
413.7 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
57% |
263
6.44 IPS |
