realme RMX6688
Geekbench AI Score
1389
Single Precision Score
1808
Half Precision Score
1538
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | March 22 2026 02:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
572
106.4 IPS |
|
|
Image Classification (HP)
|
100% |
910
169.3 IPS |
|
|
Image Classification (Q)
|
97% |
881
164.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2422
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9569
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16196
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16500
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
563
44.7 IPS |
|
|
Object Detection (HP)
|
99% |
807
64.0 IPS |
|
|
Object Detection (Q)
|
83% |
755
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
4058
48.2 IPS |
|
|
Face Detection (Q)
|
96% |
3580
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4247
32.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6017
46.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4796
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14122
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24982
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24460
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1845
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2579
95.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2182
80.9 IPS |
|
|
Text Classification (SP)
|
35% |
24
215.5 IPS |
|
|
Text Classification (HP)
|
29% |
14
242.2 IPS |
|
|
Text Classification (Q)
|
32% |
26
329.7 IPS |
|
|
Machine Translation (SP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
43% |
117
6.79 IPS |
