realme RMX5060
Geekbench AI Score
1855
Single Precision Score
1857
Half Precision Score
2568
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 09:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5060 |
| Model ID | realme RMX5060 |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1233
229.3 IPS |
|
|
Image Classification (HP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (Q)
|
100% |
1824
339.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1954
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2472
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2462
2.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
4932
5.85 IPS |
|
|
Object Detection (SP)
|
98% |
1331
105.9 IPS |
|
|
Object Detection (HP)
|
98% |
1337
106.4 IPS |
|
|
Object Detection (Q)
|
83% |
1798
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2765
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (Q)
|
95% |
4015
47.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2911
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2845
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4237
38.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6313
8.19 IPS |
|
|
Style Transfer (HP)
|
89% |
6291
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
11066
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1456
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2733
101.3 IPS |
|
|
Text Classification (SP)
|
100% |
626
835.9 IPS |
|
|
Text Classification (HP)
|
99% |
622
830.7 IPS |
|
|
Text Classification (Q)
|
88% |
1110
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1710
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (Q)
|
50% |
692
24.6 IPS |
