Xiaomi 2312DRAABI
Geekbench AI Score
420
Single Precision Score
413
Half Precision Score
785
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 04:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
201
37.3 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.5 IPS |
|
|
Image Classification (Q)
|
100% |
553
102.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
588
9.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
932
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
937
1.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
1351
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
535
43.2 IPS |
|
|
Face Detection (SP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (HP)
|
100% |
629
7.48 IPS |
|
|
Face Detection (Q)
|
95% |
1216
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
734
5.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
579
4.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
1238
11.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1513
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1524
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
3109
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
753
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.3 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.3 IPS |
|
|
Text Classification (Q)
|
88% |
372
501.9 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (Q)
|
50% |
292
10.4 IPS |
