Xiaomi 2409BRN2CY
Geekbench AI Score
208
Single Precision Score
205
Half Precision Score
291
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 06 2025 07:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2409BRN2CY |
| Model ID | Xiaomi 2409BRN2CY |
| Motherboard | lake |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores @ 1.70 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.3 IPS |
|
|
Image Classification (Q)
|
100% |
202
37.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
254
4.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
403
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.12 IPS |
|
|
Object Detection (HP)
|
100% |
89
7.07 IPS |
|
|
Object Detection (Q)
|
83% |
187
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (Q)
|
95% |
527
6.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
381
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
378
2.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
425
3.90 IPS |
|
|
Style Transfer (SP)
|
89% |
740
0.96 IPS |
|
|
Style Transfer (HP)
|
89% |
741
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
983
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
187
6.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
235
8.72 IPS |
|
|
Text Classification (SP)
|
100% |
105
140.2 IPS |
|
|
Text Classification (HP)
|
100% |
105
139.7 IPS |
|
|
Text Classification (Q)
|
88% |
170
229.8 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (HP)
|
100% |
195
3.37 IPS |
|
|
Machine Translation (Q)
|
50% |
131
4.67 IPS |
