Xiaomi 2409BRN2CA
Geekbench AI Score
156
Single Precision Score
287
Half Precision Score
238
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 09:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
85
15.8 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.6 IPS |
|
|
Image Classification (Q)
|
97% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
275
4.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
1140
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.42 IPS |
|
|
Object Detection (HP)
|
99% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
160
12.9 IPS |
|
|
Face Detection (SP)
|
100% |
327
3.89 IPS |
|
|
Face Detection (HP)
|
100% |
681
8.10 IPS |
|
|
Face Detection (Q)
|
96% |
589
7.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
328
2.53 IPS |
|
|
Depth Estimation (HP)
|
98% |
657
5.08 IPS |
|
|
Depth Estimation (Q)
|
62% |
517
4.91 IPS |
|
|
Style Transfer (SP)
|
100% |
834
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1687
2.17 IPS |
|
|
Style Transfer (Q)
|
98% |
1651
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
233
8.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
419
15.5 IPS |
|
|
Text Classification (SP)
|
35% |
6
59.4 IPS |
|
|
Text Classification (HP)
|
29% |
5
86.5 IPS |
|
|
Text Classification (Q)
|
32% |
7
87.3 IPS |
|
|
Machine Translation (SP)
|
100% |
144
2.48 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
43% |
52
3.03 IPS |
