realme RMX5060
Geekbench AI Score
1893
Single Precision Score
1877
Half Precision Score
2585
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 02:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5060 |
| Model ID | realme RMX5060 |
| Motherboard | k6989v1_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% |
1412
262.6 IPS |
|
|
Image Classification (HP)
|
100% |
1304
242.4 IPS |
|
|
Image Classification (Q)
|
100% |
1866
347.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1956
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2454
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2539
2.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
4982
5.91 IPS |
|
|
Object Detection (SP)
|
98% |
1344
107.0 IPS |
|
|
Object Detection (HP)
|
98% |
1338
106.5 IPS |
|
|
Object Detection (Q)
|
83% |
1799
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2773
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (Q)
|
95% |
4008
47.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2957
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2987
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4263
39.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6321
8.21 IPS |
|
|
Style Transfer (HP)
|
89% |
6321
8.21 IPS |
|
|
Style Transfer (Q)
|
98% |
11102
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1450
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2766
102.5 IPS |
|
|
Text Classification (SP)
|
100% |
632
844.0 IPS |
|
|
Text Classification (HP)
|
99% |
632
844.1 IPS |
|
|
Text Classification (Q)
|
88% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (Q)
|
50% |
703
25.0 IPS |
