Xiaomi 2409BRN2CA
Geekbench AI Score
198
Single Precision Score
200
Half Precision Score
292
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epitgtb29 |
| Upload Date | August 24 2025 08:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2409BRN2CA |
| Model ID | Xiaomi 2409BRN2CA |
| Motherboard | pond |
| 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% |
95
17.6 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (Q)
|
100% |
213
39.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
108
1.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
109
1.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
255
4.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
423
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
425
0.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
385
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.76 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.80 IPS |
|
|
Object Detection (Q)
|
83% |
189
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
278
3.31 IPS |
|
|
Face Detection (HP)
|
100% |
285
3.38 IPS |
|
|
Face Detection (Q)
|
95% |
529
6.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
317
2.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
346
2.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
426
3.90 IPS |
|
|
Style Transfer (SP)
|
89% |
740
0.96 IPS |
|
|
Style Transfer (HP)
|
89% |
744
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
984
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
188
6.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
235
8.73 IPS |
|
|
Text Classification (SP)
|
100% |
106
141.0 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.2 IPS |
|
|
Text Classification (Q)
|
88% |
169
227.5 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (HP)
|
100% |
191
3.30 IPS |
|
|
Machine Translation (Q)
|
50% |
133
4.70 IPS |
