realme RMX5030
Geekbench AI Score
1848
Single Precision Score
1848
Half Precision Score
3238
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 12:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5030 |
| Model ID | realme RMX5030 |
| Motherboard | k6897v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
1435
266.8 IPS |
|
|
Image Classification (Q)
|
100% |
2160
401.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2707
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2563
2.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
6301
7.47 IPS |
|
|
Object Detection (SP)
|
98% |
1337
106.4 IPS |
|
|
Object Detection (HP)
|
98% |
1340
106.6 IPS |
|
|
Object Detection (Q)
|
83% |
2238
180.8 IPS |
|
|
Face Detection (SP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (Q)
|
95% |
5443
65.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2511
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2360
18.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5235
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6744
8.75 IPS |
|
|
Style Transfer (HP)
|
89% |
6659
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
13706
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1242
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3600
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1445
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1510
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
758
26.9 IPS |
