realme RMX6688
Geekbench AI Score
1208
Single Precision Score
9586
Half Precision Score
13024
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | June 29 2025 02:42 PM |
| Views | 14 |
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% |
1187
220.7 IPS |
|
|
Image Classification (HP)
|
100% |
5226
971.8 IPS |
|
|
Image Classification (Q)
|
99% |
13084
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4933
80.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2124
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10364
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21754
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88210
103.4 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
100% |
5595
443.8 IPS |
|
|
Object Detection (Q)
|
86% |
7033
565.7 IPS |
|
|
Face Detection (SP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
15275
181.5 IPS |
|
|
Face Detection (Q)
|
97% |
15932
190.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
751
5.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
22747
175.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
39278
373.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2960
3.81 IPS |
|
|
Style Transfer (HP)
|
100% |
68230
87.7 IPS |
|
|
Style Transfer (Q)
|
98% |
235016
303.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2945
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12785
472.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38308
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
142
189.0 IPS |
|
|
Text Classification (HP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2808
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (HP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (Q)
|
60% |
515
11.6 IPS |
