Xiaomi 2312DRA50G
Geekbench AI Score
212
Single Precision Score
213
Half Precision Score
516
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 11:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2312DRA50G |
| Model ID | Xiaomi 2312DRA50G |
| Motherboard | garnet |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
99% |
338
63.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
375
6.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
877
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.88 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.91 IPS |
|
|
Object Detection (Q)
|
87% |
364
29.2 IPS |
|
|
Face Detection (SP)
|
100% |
317
3.76 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
731
8.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
279
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
279
2.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
703
6.38 IPS |
|
|
Style Transfer (SP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
481
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1358
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
491
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
179
239.4 IPS |
|
|
Text Classification (HP)
|
100% |
180
239.7 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.1 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.92 IPS |
