Xiaomi 2312DRA50G
Geekbench AI Score
440
Single Precision Score
733
Half Precision Score
664
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 27 2025 06:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (Q)
|
99% |
495
92.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1846
2.15 IPS |
|
|
Pose Estimation (HP)
|
99% |
3465
4.04 IPS |
|
|
Pose Estimation (Q)
|
97% |
3384
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
99% |
429
34.1 IPS |
|
|
Object Detection (Q)
|
85% |
407
32.8 IPS |
|
|
Face Detection (SP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (HP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
1278
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1034
7.96 IPS |
|
|
Depth Estimation (HP)
|
98% |
2046
15.8 IPS |
|
|
Depth Estimation (Q)
|
65% |
1756
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1981
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4250
5.46 IPS |
|
|
Style Transfer (Q)
|
98% |
4223
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
812
30.1 IPS |
|
|
Text Classification (SP)
|
35% |
18
176.1 IPS |
|
|
Text Classification (HP)
|
35% |
26
232.1 IPS |
|
|
Text Classification (Q)
|
35% |
25
231.7 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.73 IPS |
|
|
Machine Translation (HP)
|
97% |
250
4.32 IPS |
|
|
Machine Translation (Q)
|
64% |
165
3.38 IPS |
