Xiaomi 2409BRN2CY
Geekbench AI Score
204
Single Precision Score
199
Half Precision Score
275
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 09 2025 03:27 PM |
| Views | 4 |
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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
99
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
86
15.9 IPS |
|
|
Image Classification (Q)
|
100% |
194
36.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
114
1.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
244
3.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
385
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.86 IPS |
|
|
Object Detection (HP)
|
100% |
87
6.92 IPS |
|
|
Object Detection (Q)
|
83% |
176
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (Q)
|
95% |
496
5.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
357
2.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
396
3.63 IPS |
|
|
Style Transfer (SP)
|
89% |
749
0.97 IPS |
|
|
Style Transfer (HP)
|
89% |
749
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
912
1.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
188
6.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
191
7.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
218
8.09 IPS |
|
|
Text Classification (SP)
|
100% |
105
139.7 IPS |
|
|
Text Classification (HP)
|
100% |
99
132.0 IPS |
|
|
Text Classification (Q)
|
88% |
157
212.1 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.35 IPS |
|
|
Machine Translation (HP)
|
100% |
191
3.30 IPS |
|
|
Machine Translation (Q)
|
50% |
126
4.48 IPS |
