realme RMX6688
Geekbench AI Score
1730
Single Precision Score
1730
Half Precision Score
2542
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | November 14 2025 01:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1211
225.3 IPS |
|
|
Image Classification (HP)
|
100% |
1158
215.3 IPS |
|
|
Image Classification (Q)
|
100% |
1929
358.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1978
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2567
2.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
4956
5.88 IPS |
|
|
Object Detection (SP)
|
98% |
1036
82.5 IPS |
|
|
Object Detection (HP)
|
98% |
1050
83.5 IPS |
|
|
Object Detection (Q)
|
83% |
1656
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (Q)
|
95% |
4001
47.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3026
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3048
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4126
37.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5911
7.67 IPS |
|
|
Style Transfer (HP)
|
89% |
5915
7.68 IPS |
|
|
Style Transfer (Q)
|
98% |
10821
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2673
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
607
809.6 IPS |
|
|
Text Classification (HP)
|
99% |
617
823.3 IPS |
|
|
Text Classification (Q)
|
88% |
1090
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (Q)
|
50% |
692
24.6 IPS |
