Xiaomi 2312DRAABI
Geekbench AI Score
333
Single Precision Score
521
Half Precision Score
434
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 05:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 5.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
97% |
301
56.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
486
7.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1221
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
2200
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
99% |
287
22.7 IPS |
|
|
Object Detection (Q)
|
83% |
311
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
1106
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
825
6.36 IPS |
|
|
Depth Estimation (HP)
|
98% |
1519
11.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1177
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2166
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4232
5.44 IPS |
|
|
Style Transfer (Q)
|
98% |
4125
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
719
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
700
26.0 IPS |
|
|
Text Classification (SP)
|
35% |
11
102.5 IPS |
|
|
Text Classification (HP)
|
29% |
6
104.9 IPS |
|
|
Text Classification (Q)
|
33% |
9
102.3 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
43% |
71
4.10 IPS |
