Xiaomi 2409BRN2CY
Geekbench AI Score
225
Single Precision Score
224
Half Precision Score
316
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 11:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.9 IPS |
|
|
Image Classification (Q)
|
100% |
213
39.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
262
4.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
416
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.74 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.67 IPS |
|
|
Object Detection (Q)
|
83% |
203
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
95% |
571
6.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
405
3.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
404
3.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
462
4.23 IPS |
|
|
Style Transfer (SP)
|
89% |
827
1.07 IPS |
|
|
Style Transfer (HP)
|
89% |
836
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
1065
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
200
7.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.49 IPS |
|
|
Text Classification (SP)
|
100% |
118
156.8 IPS |
|
|
Text Classification (HP)
|
100% |
120
159.8 IPS |
|
|
Text Classification (Q)
|
88% |
194
262.0 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (Q)
|
50% |
152
5.41 IPS |
