Xiaomi 24048RN6CI
Geekbench AI Score
112
Single Precision Score
113
Half Precision Score
82
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 12:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 24048RN6CI |
| Model ID | Xiaomi 24048RN6CI |
| Motherboard | klein |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
69
12.9 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.4 IPS |
|
|
Image Classification (Q)
|
100% |
60
11.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
83
1.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
80
1.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
70
1.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
395
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
372
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
68
5.41 IPS |
|
|
Object Detection (HP)
|
100% |
64
5.05 IPS |
|
|
Object Detection (Q)
|
84% |
58
4.69 IPS |
|
|
Face Detection (SP)
|
100% |
221
2.62 IPS |
|
|
Face Detection (HP)
|
100% |
198
2.35 IPS |
|
|
Face Detection (Q)
|
97% |
157
1.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
249
1.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
247
1.90 IPS |
|
|
Depth Estimation (Q)
|
65% |
190
1.71 IPS |
|
|
Style Transfer (SP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
660
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
636
0.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
154
5.71 IPS |
|
|
Text Classification (SP)
|
29% |
5
80.8 IPS |
|
|
Text Classification (HP)
|
35% |
8
78.6 IPS |
|
|
Text Classification (Q)
|
29% |
4
68.9 IPS |
|
|
Machine Translation (SP)
|
100% |
65
1.12 IPS |
|
|
Machine Translation (HP)
|
100% |
66
1.14 IPS |
|
|
Machine Translation (Q)
|
41% |
13
0.87 IPS |
