Xiaomi 2312DRA50G
Geekbench AI Score
730
Single Precision Score
695
Half Precision Score
1366
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 27 2025 05:58 PM |
| Views | 4 |
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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
100% |
888
165.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1070
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1555
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1558
1.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
2614
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
83% |
973
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
1006
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (Q)
|
95% |
2179
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1400
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1262
9.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
2088
19.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3070
3.99 IPS |
|
|
Style Transfer (HP)
|
89% |
2989
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6798
8.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
776
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1333
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
319
425.1 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.5 IPS |
|
|
Text Classification (Q)
|
88% |
632
852.9 IPS |
|
|
Machine Translation (SP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.17 IPS |
|
|
Machine Translation (Q)
|
50% |
361
12.8 IPS |
