Xiaomi 2312DRA50G
Geekbench AI Score
228
Single Precision Score
298
Half Precision Score
306
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Hakim_Yusa |
| Upload Date | February 04 2025 09:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
156
29.1 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
97% |
216
40.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
296
4.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
298
0.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
299
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.75 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
89% |
153
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (HP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (Q)
|
97% |
530
6.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
311
2.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
492
3.80 IPS |
|
|
Depth Estimation (Q)
|
63% |
401
3.77 IPS |
|
|
Style Transfer (SP)
|
100% |
726
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1307
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1342
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
145
5.36 IPS |
|
|
Text Classification (SP)
|
100% |
142
189.7 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.7 IPS |
|
|
Text Classification (Q)
|
91% |
268
360.6 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
57% |
225
5.49 IPS |
