Xiaomi 2312DRA50G
Geekbench AI Score
434
Single Precision Score
741
Half Precision Score
670
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:22 PM |
| Views | 4 |
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% |
514
95.5 IPS |
|
|
Image Classification (Q)
|
99% |
474
88.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
876
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1854
2.16 IPS |
|
|
Pose Estimation (HP)
|
99% |
3550
4.14 IPS |
|
|
Pose Estimation (Q)
|
97% |
3412
4.00 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
99% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
85% |
399
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1469
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1286
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1046
8.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
2047
15.8 IPS |
|
|
Depth Estimation (Q)
|
65% |
1702
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1974
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
4243
5.45 IPS |
|
|
Style Transfer (Q)
|
98% |
4156
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
803
29.8 IPS |
|
|
Text Classification (SP)
|
35% |
19
183.4 IPS |
|
|
Text Classification (HP)
|
35% |
31
277.4 IPS |
|
|
Text Classification (Q)
|
35% |
29
265.7 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.25 IPS |
|
|
Machine Translation (HP)
|
97% |
220
3.80 IPS |
|
|
Machine Translation (Q)
|
64% |
173
3.55 IPS |
