Xiaomi 24048RN6CI
Geekbench AI Score
202
Single Precision Score
201
Half Precision Score
378
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 01:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
96
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.3 IPS |
|
|
Image Classification (Q)
|
100% |
234
43.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
358
5.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
463
0.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
859
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.65 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.71 IPS |
|
|
Object Detection (Q)
|
83% |
254
20.5 IPS |
|
|
Face Detection (SP)
|
100% |
285
3.39 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
95% |
589
7.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
345
2.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
341
2.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
618
5.66 IPS |
|
|
Style Transfer (SP)
|
89% |
987
1.28 IPS |
|
|
Style Transfer (HP)
|
89% |
997
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
1867
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
162
5.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
445
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
91
121.9 IPS |
|
|
Text Classification (HP)
|
100% |
90
119.6 IPS |
|
|
Text Classification (Q)
|
88% |
137
185.1 IPS |
|
|
Machine Translation (SP)
|
100% |
142
2.45 IPS |
|
|
Machine Translation (HP)
|
100% |
141
2.43 IPS |
|
|
Machine Translation (Q)
|
50% |
80
2.85 IPS |
