Xiaomi 2312DRA50G
Geekbench AI Score
430
Single Precision Score
730
Half Precision Score
671
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 05:19 PM |
| Views | 1 |
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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
99% |
479
89.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1855
2.16 IPS |
|
|
Pose Estimation (HP)
|
99% |
3501
4.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
3425
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.8 IPS |
|
|
Object Detection (HP)
|
99% |
417
33.0 IPS |
|
|
Object Detection (Q)
|
85% |
401
32.3 IPS |
|
|
Face Detection (SP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
1310
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1036
7.98 IPS |
|
|
Depth Estimation (HP)
|
98% |
2027
15.7 IPS |
|
|
Depth Estimation (Q)
|
65% |
1677
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1971
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
4249
5.46 IPS |
|
|
Style Transfer (Q)
|
98% |
4174
5.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
786
29.1 IPS |
|
|
Text Classification (SP)
|
35% |
19
182.8 IPS |
|
|
Text Classification (HP)
|
35% |
30
269.0 IPS |
|
|
Text Classification (Q)
|
35% |
30
269.2 IPS |
|
|
Machine Translation (SP)
|
100% |
178
3.07 IPS |
|
|
Machine Translation (HP)
|
97% |
211
3.65 IPS |
|
|
Machine Translation (Q)
|
64% |
168
3.46 IPS |
