realme RMX5061
Geekbench AI Score
1011
Single Precision Score
1085
Half Precision Score
1138
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 12:03 PM |
| Views | 3 |
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% |
657
122.2 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.0 IPS |
|
|
Image Classification (Q)
|
99% |
659
123.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1551
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1204
1.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1185
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (Q)
|
83% |
892
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
3084
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
2322
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
2093
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1659
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2241
17.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1813
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4248
5.46 IPS |
|
|
Style Transfer (HP)
|
100% |
5557
7.14 IPS |
|
|
Style Transfer (Q)
|
98% |
5502
7.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1096
40.6 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.9 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.5 IPS |
|
|
Text Classification (Q)
|
91% |
469
630.3 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
57% |
316
7.72 IPS |
