realme RMX6688
Geekbench AI Score
1157
Single Precision Score
9116
Half Precision Score
12374
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | December 27 2025 04:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX6688 |
| Model ID | realme RMX6688 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 15.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1188
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
5025
934.4 IPS |
|
|
Image Classification (Q)
|
99% |
12241
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4650
75.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2102
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10501
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21639
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
87138
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
5269
418.0 IPS |
|
|
Object Detection (Q)
|
86% |
6506
523.3 IPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
14221
169.0 IPS |
|
|
Face Detection (Q)
|
97% |
15537
185.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
636
4.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
22379
172.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
38292
363.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2547
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
67760
87.1 IPS |
|
|
Style Transfer (Q)
|
98% |
232255
299.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2807
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12320
454.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37011
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
140
186.3 IPS |
|
|
Text Classification (HP)
|
100% |
2652
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2669
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
2112
36.4 IPS |
|
|
Machine Translation (Q)
|
60% |
423
9.52 IPS |
