realme RMX5061
Geekbench AI Score
1572
Single Precision Score
2217
Half Precision Score
1787
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 10:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
690
128.4 IPS |
|
|
Image Classification (HP)
|
100% |
1002
186.4 IPS |
|
|
Image Classification (Q)
|
97% |
812
151.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3108
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9688
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16140
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16131
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
641
50.8 IPS |
|
|
Object Detection (HP)
|
99% |
1177
93.3 IPS |
|
|
Object Detection (Q)
|
83% |
1211
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
4007
47.6 IPS |
|
|
Face Detection (Q)
|
96% |
3174
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6092
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10023
77.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
7347
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15621
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34308
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33851
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3403
126.1 IPS |
|
|
Text Classification (SP)
|
35% |
35
318.2 IPS |
|
|
Text Classification (HP)
|
29% |
26
455.2 IPS |
|
|
Text Classification (Q)
|
32% |
27
349.4 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.88 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.38 IPS |
|
|
Machine Translation (Q)
|
43% |
93
5.39 IPS |
