realme RMX6688
Geekbench AI Score
1160
Single Precision Score
9110
Half Precision Score
12781
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | March 22 2026 03:02 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 15.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1056
196.4 IPS |
|
|
Image Classification (HP)
|
100% |
4571
850.0 IPS |
|
|
Image Classification (Q)
|
99% |
13488
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4807
77.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2110
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10131
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21666
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
87061
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
5446
432.0 IPS |
|
|
Object Detection (Q)
|
86% |
6707
539.5 IPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
14395
171.0 IPS |
|
|
Face Detection (Q)
|
97% |
15694
187.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
738
5.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
22538
173.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
38550
366.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3854
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
67701
87.0 IPS |
|
|
Style Transfer (Q)
|
98% |
235682
303.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2789
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12531
462.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37252
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
104
139.1 IPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2627
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
2447
42.2 IPS |
|
|
Machine Translation (Q)
|
60% |
502
11.3 IPS |
