Xiaomi 2312DRA50G
Geekbench AI Score
430
Single Precision Score
739
Half Precision Score
670
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:57 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% |
321
59.8 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
99% |
474
88.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
785
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1864
2.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
3536
4.13 IPS |
|
|
Pose Estimation (Q)
|
97% |
3435
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
99% |
437
34.7 IPS |
|
|
Object Detection (Q)
|
85% |
390
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
1275
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1044
8.04 IPS |
|
|
Depth Estimation (HP)
|
98% |
2065
16.0 IPS |
|
|
Depth Estimation (Q)
|
65% |
1654
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2027
2.61 IPS |
|
|
Style Transfer (HP)
|
100% |
4200
5.40 IPS |
|
|
Style Transfer (Q)
|
98% |
4196
5.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
858
31.8 IPS |
|
|
Text Classification (SP)
|
35% |
18
176.1 IPS |
|
|
Text Classification (HP)
|
35% |
31
278.3 IPS |
|
|
Text Classification (Q)
|
35% |
29
262.0 IPS |
|
|
Machine Translation (SP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (HP)
|
97% |
209
3.62 IPS |
|
|
Machine Translation (Q)
|
64% |
167
3.43 IPS |
