Xiaomi 2312DRA50G
Geekbench AI Score
188
Single Precision Score
186
Half Precision Score
449
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Hakim_Yusa |
| Upload Date | February 04 2025 09:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
122
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
335
62.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
376
6.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
745
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.33 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.35 IPS |
|
|
Object Detection (Q)
|
87% |
308
24.7 IPS |
|
|
Face Detection (SP)
|
100% |
276
3.28 IPS |
|
|
Face Detection (HP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (Q)
|
97% |
627
7.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
237
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
240
1.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
583
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
417
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
413
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1148
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
153
203.8 IPS |
|
|
Text Classification (HP)
|
100% |
152
202.9 IPS |
|
|
Text Classification (Q)
|
91% |
289
389.0 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (Q)
|
57% |
239
5.84 IPS |
