Xiaomi 2312DRA50G
Geekbench AI Score
187
Single Precision Score
185
Half Precision Score
10644
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 11:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
123
22.9 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
97% |
9800
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
7366
119.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
31371
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.35 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.37 IPS |
|
|
Object Detection (Q)
|
86% |
4650
373.9 IPS |
|
|
Face Detection (SP)
|
100% |
276
3.28 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
97% |
27148
323.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
241
1.86 IPS |
|
|
Depth Estimation (Q)
|
63% |
22239
208.2 IPS |
|
|
Style Transfer (SP)
|
100% |
417
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
412
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
71544
92.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
110
4.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17531
649.6 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.7 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.5 IPS |
|
|
Text Classification (Q)
|
93% |
3153
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
246
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (Q)
|
55% |
743
19.5 IPS |
