Xiaomi 2312DRAABI
Geekbench AI Score
350
Single Precision Score
210
Half Precision Score
154
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 06:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2312DRAABI |
| Model ID | Xiaomi 2312DRAABI |
| Motherboard | gold |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (Q)
|
97% |
58
10.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
80
1.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
69
1.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
1455
1.70 IPS |
|
|
Pose Estimation (HP)
|
98% |
2773
3.25 IPS |
|
|
Pose Estimation (Q)
|
70% |
704
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
53
4.21 IPS |
|
|
Object Detection (Q)
|
80% |
62
5.02 IPS |
|
|
Face Detection (SP)
|
100% |
755
8.97 IPS |
|
|
Face Detection (HP)
|
100% |
152
1.81 IPS |
|
|
Face Detection (Q)
|
97% |
96
1.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
271
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
117
0.90 IPS |
|
|
Depth Estimation (Q)
|
58% |
196
2.11 IPS |
|
|
Style Transfer (SP)
|
100% |
988
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
232
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
1333
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
321
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
89
118.5 IPS |
|
|
Text Classification (HP)
|
100% |
73
97.9 IPS |
|
|
Text Classification (Q)
|
93% |
70
93.5 IPS |
|
|
Machine Translation (SP)
|
100% |
137
2.36 IPS |
|
|
Machine Translation (HP)
|
100% |
142
2.45 IPS |
|
|
Machine Translation (Q)
|
55% |
80
2.12 IPS |
