Xiaomi 2312DRA50G
Geekbench AI Score
652
Single Precision Score
586
Half Precision Score
1362
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 12:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
437
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
100% |
1406
261.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1642
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1941
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1994
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3207
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (Q)
|
83% |
1230
99.3 IPS |
|
|
Face Detection (SP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (Q)
|
95% |
3361
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1485
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1504
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3389
31.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3504
4.55 IPS |
|
|
Style Transfer (HP)
|
89% |
3514
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
6181
7.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
674
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.0 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.3 IPS |
|
|
Text Classification (Q)
|
88% |
269
362.4 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
50% |
190
6.75 IPS |
