realme RMX6688
Geekbench AI Score
1185
Single Precision Score
9461
Half Precision Score
12798
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | November 27 2025 02:36 PM |
| Views | 2 |
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% |
1155
214.8 IPS |
|
|
Image Classification (HP)
|
100% |
5253
977.0 IPS |
|
|
Image Classification (Q)
|
99% |
13168
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4939
80.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2126
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10359
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21733
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88335
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
100% |
5683
450.8 IPS |
|
|
Object Detection (Q)
|
86% |
6955
559.5 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
14872
176.7 IPS |
|
|
Face Detection (Q)
|
97% |
15833
188.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
745
5.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
22635
174.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
39117
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2849
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
68443
88.0 IPS |
|
|
Style Transfer (Q)
|
98% |
235854
304.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2821
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12766
471.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39015
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
143
190.4 IPS |
|
|
Text Classification (HP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2825
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (Q)
|
60% |
426
9.59 IPS |
