realme RMX5107
Geekbench AI Score
892
Single Precision Score
1622
Half Precision Score
2051
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 01 2026 08:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
447
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
933
173.6 IPS |
|
|
Image Classification (Q)
|
99% |
1397
260.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1678
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1942
2.27 IPS |
|
|
Pose Estimation (HP)
|
92% |
4119
4.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
3837
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (HP)
|
97% |
889
70.8 IPS |
|
|
Object Detection (Q)
|
85% |
1371
110.5 IPS |
|
|
Face Detection (SP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
3356
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1469
11.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2995
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3417
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3613
4.69 IPS |
|
|
Style Transfer (HP)
|
88% |
4740
6.15 IPS |
|
|
Style Transfer (Q)
|
98% |
8575
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1756
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2052
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
498
664.9 IPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
93% |
886
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
96% |
908
15.7 IPS |
|
|
Machine Translation (Q)
|
55% |
599
16.1 IPS |
