Xiaomi 2312DRA50G
Geekbench AI Score
702
Single Precision Score
635
Half Precision Score
1331
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Hakim_Yusa |
| Upload Date | September 29 2024 07:31 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
100% |
1457
271.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
521
8.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1547
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1861
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1844
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
3214
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
1221
98.7 IPS |
|
|
Face Detection (SP)
|
100% |
1006
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
3000
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1464
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1418
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2721
24.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3104
4.03 IPS |
|
|
Style Transfer (HP)
|
89% |
3038
3.94 IPS |
|
|
Style Transfer (Q)
|
98% |
6838
8.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
679
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.9 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.1 IPS |
|
|
Text Classification (Q)
|
88% |
286
386.2 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
50% |
182
6.45 IPS |
