Xiaomi 2312DRA50G
Geekbench AI Score
317
Single Precision Score
322
Half Precision Score
620
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:46 PM |
| Views | 1 |
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% |
154
28.7 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
100% |
468
87.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
509
8.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
841
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
1293
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (Q)
|
83% |
421
34.0 IPS |
|
|
Face Detection (SP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (HP)
|
100% |
379
4.50 IPS |
|
|
Face Detection (Q)
|
95% |
874
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
539
4.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
525
4.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1067
9.77 IPS |
|
|
Style Transfer (SP)
|
89% |
1192
1.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1191
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
2596
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
641
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.5 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.4 IPS |
|
|
Text Classification (Q)
|
88% |
242
326.3 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
50% |
174
6.16 IPS |
