realme RMX5061
Geekbench AI Score
1729
Single Precision Score
1723
Half Precision Score
2424
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 18 2026 01:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 15.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1203
223.7 IPS |
|
|
Image Classification (HP)
|
100% |
1267
235.5 IPS |
|
|
Image Classification (Q)
|
100% |
1817
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1964
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2456
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2448
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
4916
5.83 IPS |
|
|
Object Detection (SP)
|
98% |
1195
95.1 IPS |
|
|
Object Detection (HP)
|
98% |
1203
95.7 IPS |
|
|
Object Detection (Q)
|
83% |
1727
139.5 IPS |
|
|
Face Detection (SP)
|
100% |
2638
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
3980
47.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2717
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2721
21.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4163
38.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5755
7.47 IPS |
|
|
Style Transfer (HP)
|
89% |
5776
7.50 IPS |
|
|
Style Transfer (Q)
|
98% |
10772
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1271
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2662
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
589
785.9 IPS |
|
|
Text Classification (HP)
|
99% |
584
779.2 IPS |
|
|
Text Classification (Q)
|
88% |
947
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1534
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
