Xiaomi 2312DRA50G
Geekbench AI Score
150
Single Precision Score
146
Half Precision Score
10568
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 12:41 PM |
| Views | 2 |
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% |
78
14.6 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.6 IPS |
|
|
Image Classification (Q)
|
97% |
9704
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
7316
119.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
159
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
164
0.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
31032
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.73 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.79 IPS |
|
|
Object Detection (Q)
|
86% |
4652
374.1 IPS |
|
|
Face Detection (SP)
|
100% |
259
3.08 IPS |
|
|
Face Detection (HP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (Q)
|
97% |
27244
324.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
220
1.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
204
1.57 IPS |
|
|
Depth Estimation (Q)
|
63% |
22062
206.6 IPS |
|
|
Style Transfer (SP)
|
100% |
319
0.41 IPS |
|
|
Style Transfer (HP)
|
100% |
319
0.41 IPS |
|
|
Style Transfer (Q)
|
98% |
69926
90.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
97
3.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
89
3.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17575
651.2 IPS |
|
|
Text Classification (SP)
|
100% |
114
151.7 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.3 IPS |
|
|
Text Classification (Q)
|
93% |
3210
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (Q)
|
55% |
715
18.7 IPS |
