Xiaomi 2312DRAABI
Geekbench AI Score
385
Single Precision Score
374
Half Precision Score
691
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 05:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2312DRAABI |
| Model ID | Xiaomi 2312DRAABI |
| Motherboard | gold |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (HP)
|
100% |
150
28.0 IPS |
|
|
Image Classification (Q)
|
100% |
404
75.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
532
8.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
871
1.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
1216
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
476
38.4 IPS |
|
|
Face Detection (SP)
|
100% |
586
6.97 IPS |
|
|
Face Detection (HP)
|
100% |
589
7.00 IPS |
|
|
Face Detection (Q)
|
95% |
1095
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
725
5.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
545
4.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1123
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1390
1.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1396
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
2816
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
348
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
677
25.1 IPS |
|
|
Text Classification (SP)
|
100% |
200
266.3 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.9 IPS |
|
|
Text Classification (Q)
|
88% |
332
448.0 IPS |
|
|
Machine Translation (SP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (Q)
|
50% |
259
9.18 IPS |
