realme RMX6688
Geekbench AI Score
1248
Single Precision Score
1506
Half Precision Score
1336
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | November 14 2025 01:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
473
87.9 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.1 IPS |
|
|
Image Classification (Q)
|
97% |
562
104.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2356
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9804
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15805
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15975
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
99% |
675
53.5 IPS |
|
|
Object Detection (Q)
|
83% |
661
53.4 IPS |
|
|
Face Detection (SP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (Q)
|
96% |
3359
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4009
30.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5107
39.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4724
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14386
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24183
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24412
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2332
86.4 IPS |
|
|
Text Classification (SP)
|
35% |
19
171.7 IPS |
|
|
Text Classification (HP)
|
29% |
11
195.9 IPS |
|
|
Text Classification (Q)
|
32% |
15
187.4 IPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (Q)
|
43% |
96
5.56 IPS |
