realme RMX5079
Geekbench AI Score
194
Single Precision Score
189
Half Precision Score
9929
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 03:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5079 |
| Model ID | realme RMX5079 |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (Q)
|
97% |
9536
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
6268
101.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
203
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
203
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
28466
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.69 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (Q)
|
86% |
4199
337.6 IPS |
|
|
Face Detection (SP)
|
100% |
302
3.59 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
97% |
22938
273.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
254
1.96 IPS |
|
|
Depth Estimation (Q)
|
63% |
19880
186.2 IPS |
|
|
Style Transfer (SP)
|
100% |
450
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
449
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
63447
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15977
592.0 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.1 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.4 IPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.60 IPS |
|
|
Machine Translation (Q)
|
55% |
698
18.3 IPS |
