realme RMX5061
Geekbench AI Score
1908
Single Precision Score
1902
Half Precision Score
2687
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 11:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5061 |
| Model ID | realme RMX5061 |
| Motherboard | k6989v2_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 | 11.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
1320
245.5 IPS |
|
|
Image Classification (Q)
|
100% |
1940
360.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2102
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2588
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2550
2.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
5176
6.14 IPS |
|
|
Object Detection (SP)
|
98% |
1292
102.8 IPS |
|
|
Object Detection (HP)
|
98% |
1283
102.1 IPS |
|
|
Object Detection (Q)
|
83% |
1912
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2916
34.7 IPS |
|
|
Face Detection (Q)
|
95% |
4235
50.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3071
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3122
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4449
40.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6548
8.50 IPS |
|
|
Style Transfer (HP)
|
89% |
6514
8.46 IPS |
|
|
Style Transfer (Q)
|
98% |
11641
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1492
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2892
107.2 IPS |
|
|
Text Classification (SP)
|
100% |
607
809.7 IPS |
|
|
Text Classification (HP)
|
99% |
614
819.1 IPS |
|
|
Text Classification (Q)
|
88% |
1110
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1693
29.2 IPS |
|
|
Machine Translation (Q)
|
50% |
692
24.6 IPS |
