realme RMX5085
Geekbench AI Score
736
Single Precision Score
893
Half Precision Score
878
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 12:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5085 |
| Model ID | realme RMX5085 |
| Motherboard | k6899v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3463 revision 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores @ 2.10 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
601
111.8 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.8 IPS |
|
|
Image Classification (Q)
|
99% |
603
112.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1011
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
984
1.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
976
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
791
62.7 IPS |
|
|
Object Detection (Q)
|
83% |
707
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
2376
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1172
9.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1503
11.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1215
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3405
4.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4520
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
4454
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
867
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.2 IPS |
|
|
Text Classification (HP)
|
100% |
187
250.0 IPS |
|
|
Text Classification (Q)
|
91% |
314
422.5 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
57% |
185
4.52 IPS |
