realme RMX5107
Geekbench AI Score
560
Single Precision Score
799
Half Precision Score
656
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 29 2026 05:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | realme RMX5107 |
| Model ID | realme RMX5107 |
| Motherboard | RM6878 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
277
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
97% |
319
59.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1024
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2510
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4351
5.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
4314
5.06 IPS |
|
|
Object Detection (SP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (HP)
|
99% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
83% |
391
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1738
20.6 IPS |
|
|
Face Detection (Q)
|
96% |
1544
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1546
11.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2515
19.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1963
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4363
5.61 IPS |
|
|
Style Transfer (HP)
|
100% |
7730
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
7530
9.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1057
39.2 IPS |
|
|
Text Classification (SP)
|
35% |
14
126.2 IPS |
|
|
Text Classification (HP)
|
29% |
8
138.1 IPS |
|
|
Text Classification (Q)
|
32% |
11
142.7 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (Q)
|
43% |
101
5.85 IPS |
