realme RMX6688
Geekbench AI Score
1165
Single Precision Score
9231
Half Precision Score
12496
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | June 28 2025 04:08 PM |
| Views | 9 |
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% |
1172
217.9 IPS |
|
|
Image Classification (HP)
|
100% |
4976
925.4 IPS |
|
|
Image Classification (Q)
|
99% |
13249
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5007
81.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2128
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10835
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21739
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88050
103.2 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.7 IPS |
|
|
Object Detection (HP)
|
100% |
5694
451.7 IPS |
|
|
Object Detection (Q)
|
86% |
6571
528.6 IPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
14591
173.4 IPS |
|
|
Face Detection (Q)
|
97% |
15620
186.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
624
4.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
21787
167.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
37589
356.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2519
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
67617
86.9 IPS |
|
|
Style Transfer (Q)
|
98% |
231819
298.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12263
452.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38075
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
139
185.0 IPS |
|
|
Text Classification (HP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2567
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (Q)
|
60% |
428
9.64 IPS |
