Xiaomi 2409BRN2CA
Geekbench AI Score
77
Single Precision Score
76
Half Precision Score
137
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epitgtb29 |
| Upload Date | August 24 2025 10:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
45
8.30 IPS |
|
|
Image Classification (HP)
|
100% |
45
8.36 IPS |
|
|
Image Classification (Q)
|
99% |
89
16.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
62
1.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
63
1.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
109
1.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
88
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
85
0.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
197
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
44
3.47 IPS |
|
|
Object Detection (HP)
|
100% |
43
3.39 IPS |
|
|
Object Detection (Q)
|
87% |
85
6.84 IPS |
|
|
Face Detection (SP)
|
100% |
110
1.30 IPS |
|
|
Face Detection (HP)
|
100% |
111
1.32 IPS |
|
|
Face Detection (Q)
|
97% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
99
0.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
101
0.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
178
1.62 IPS |
|
|
Style Transfer (SP)
|
100% |
192
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
191
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
402
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50
1.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49
1.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
116
4.29 IPS |
|
|
Text Classification (SP)
|
100% |
64
84.9 IPS |
|
|
Text Classification (HP)
|
100% |
61
81.3 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.6 IPS |
|
|
Machine Translation (SP)
|
100% |
111
1.90 IPS |
|
|
Machine Translation (HP)
|
100% |
109
1.87 IPS |
|
|
Machine Translation (Q)
|
57% |
84
2.05 IPS |
