realme RMX5061
Geekbench AI Score
1479
Single Precision Score
1460
Half Precision Score
2004
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 07:04 PM |
| Views | 7 |
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 | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
1229
228.6 IPS |
|
|
Image Classification (Q)
|
100% |
1844
343.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1613
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2055
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3805
4.51 IPS |
|
|
Object Detection (SP)
|
98% |
983
78.3 IPS |
|
|
Object Detection (HP)
|
98% |
980
78.0 IPS |
|
|
Object Detection (Q)
|
83% |
1357
109.6 IPS |
|
|
Face Detection (SP)
|
100% |
2135
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2122
25.2 IPS |
|
|
Face Detection (Q)
|
95% |
3051
36.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2128
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2139
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3194
29.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4814
6.25 IPS |
|
|
Style Transfer (HP)
|
89% |
4814
6.25 IPS |
|
|
Style Transfer (Q)
|
98% |
8456
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1077
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1991
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.6 IPS |
|
|
Text Classification (HP)
|
99% |
452
603.6 IPS |
|
|
Text Classification (Q)
|
88% |
806
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
