realme RMX5111
Geekbench AI Score
333
Single Precision Score
584
Half Precision Score
492
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 29 2026 09:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5111 |
| Model ID | realme RMX5111 |
| Motherboard | k6835v2_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
97% |
381
71.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
580
9.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
1233
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2314
2.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
2276
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
99% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
83% |
341
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.17 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
96% |
1267
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
846
6.52 IPS |
|
|
Depth Estimation (HP)
|
98% |
1624
12.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1308
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2003
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
4327
5.56 IPS |
|
|
Style Transfer (Q)
|
98% |
4267
5.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
898
33.3 IPS |
|
|
Text Classification (SP)
|
35% |
10
90.2 IPS |
|
|
Text Classification (HP)
|
29% |
8
138.2 IPS |
|
|
Text Classification (Q)
|
31% |
10
135.7 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.47 IPS |
